References

Displaying 1 - 219 of 219 Results
  • Alosh M, Bretz F, Huque M. Advanced multiplicity adjustment methods in clinical trials. Stat Med. 2014;33(4):693-713. Epub 2013/09/16.
    PMID: 24105821.
  • Andridge RR, Shoben AB, Muller KE, Murray DM. Analytic methods for individually randomized group treatment trials and group-randomized trials when subjects belong to multiple groups. Statistics in Medicine. 2014;33(13):2178-90. Epub 2014/01/08.
    PMID: 24399701.
  • Arnup SJ, McKenzie JE, Hemming K, Pilcher D, Forbes AB. Understanding the cluster randomised crossover design: A graphical illustraton of the components of variation and a sample size tutorial. Trials. 2017;18(1):381. Epub 2017/08/15.
    PMID: 28810895.
  • Baio G, Copas A, Ambler G, Hargreaves JR, Beard E, Omar RZ. Sample size calculation for a stepped wedge trial. Trials. 2015;16(1):354. Epub 2015/08/19.
    PMID: 26282553.
  • Baker SG. Maximum likelihood estimation with missing outcomes: From simplicity to complexity. Stat Med. 2019;38(22):4453-4474. Epub 2019/08/08.
    PMID: 31392751.
  • Baker SG, Kramer BS. A perfect correlate does not a surrogate make. BMC Med Res Methodol. 2003;3:16.
    PMID: 12962545.
  • Baker SG, Kramer BS. Simple methods for evaluating 4 types of biomarkers: Surrogate endpoint, prognostic, predictive, and cancer screening. Biomark Insights. 2020;15:1177271920946715. Epub 2020/08/04.
    PMID: 32821082.
  • Baker SG, Kramer BS. Evaluating prognostic markers using relative utility curves and test tradeoffs. J Clin Oncol. 2015;33(23):2578-80. Epub 2015/06/29.
    PMID: 26124476.
  • Baker SG, Kramer BS, Lindeman KS. Latent class instrumental variables: A clinical and biostatistical perspective. Stat Med. 2016;35(1):147-60. Epub 2015/08/04.
    PMID: 26239275.
  • Baker SG, Lindeman KS. The paired availability design: A proposal for evaluating epidural analgesia during labor. Stat Med. 1994;13(21):2269-78.
    PMID: 7846425.
  • Baker SG, Lindeman KS, Kramer BS. The paired availability design for historical controls. BMC Med Res Methodol. 2001;1:9. Epub 2001/09/26. Erratum.
    PMID: 11602018.
  • Baldwin SA, Bauer DJ, Stice E, Rohde P. Evaluating models for partially clustered designs. Psychological Methods. 2011;16(2):149-65. Epub 2011/04/27.
    PMID: 21517179.
  • Baldwin SA, Murray DM, Shadish WR. Empirically supported treatments or type I errors? Problems with the analysis of data from group-administered treatments. J Consult Clin Psychol. 2005;73(5):924-35. Epub 2005/11/17.
    PMID: 16287392.
  • Barker D, McElduff P, D'Este C, Campbell MJ. Stepped wedge cluster randomised trials: A review of the statistical methodology used and available. BMC Med Res Methodol. 2016;16:69. Epub 2016/06/09.
    PMID: 27267471.
  • Bauer DJ, Sterba SK, Hallfors DD. Evaluating group-based interventions when control participants are ungrouped. Multivariate Behav Res. 2008;43(2):210-236. Epub 2008/04/02.
    PMID: 20396621.
  • Beidas RS, Paciotti B, Barg F, Branas AR, Brown JC, Glanz K, et al. A hybrid effectiveness-implementation trial of an evidence-based exercise intervention for breast cancer survivors. J Natl Cancer Inst Monogr. 2014;2014(50):338-45.
    PMID: 25749601.
  • Bell ML, Rabe BA. The mixed model for repeated measures for cluster randomized trials: a simulation study investigating bias and type I error with missing continuous data. Trials. 2020;21(1):148. Epub 2020/02/07.
    PMID: 32033617.
  • Bellamy SL, Gibberd R, Hancock L, Howley P, Kennedy B, Klar N, et al. Analysis of dichotomous outcome data for community intervention studies. Stat Methods Med Res. 2000;9(2):135-59.
    PMID: 10946431.
  • Berger VW. An empirical demonstration of the need for exact tests. J Mod Appl Stat Methods. 2017;16(1):34-50.
  • Berger VW, Bejleri K, Agnor R. Comparing MTI randomization procedures to blocked randomization. Stat Med. 2016;35(5):685-94. Epub 2015/09/03.
    PMID: 26337607.
  • Berry KJ, Mielke PW, Johnston JE. Permutation statistical methods: An integrated approach. 2016 Cham, Switzerland: Springer International Publishing.
  • Bie R, Haneuse S, Huey N, Schildcrout J, McGee G. Fitting marginal models in small samples: A simulation study of marginalized multilevel models and generalized estimating equations. Stat Med. 2021 Epub 2021/07/12.
    PMID: 34251697.
  • Birken SA, Powell BJ, Presseau J, Kirk MA, Lorencatto F, Gould NJ, et al. Combined use of the Consolidated Framework for Implementation Research (CFIR) and the Theoretical Domains Framework (TDF): A systematic review. Implement Sci. 2017;12(1):2. Epub 2017/01/05.
    PMID: 28057049.
  • Bor J, Moscoe E, Mutevedzi P, Newell ML, Bärnighausen T. Regression discontinuity designs in epidemiology: Causal inference without randomized trials. Epidemiology. 2014;25(5):729-37.
    PMID: 25061922.
  • Boutron I, Altman DG, Moher D, Schulz KF, Ravaud P, Consort NPT Group. CONSORT Statement for Randomized Trials of Nonpharmacologic Treatments: A 2017 update and a CONSORT Extension for Nonpharmacologic Trial Abstracts. Ann Intern Med. 2017;167(1):40-47. Epub 2017/06/20.
    PMID: 28630973.
  • Boutron I, Moher D, Altman DG, Schulz KF, Ravaud P. Extending the CONSORT statement to randomized trials of nonpharmacologic treatment: Explanation and elaboration. Ann Intern Med. 2008;148(4):295-309. Epub 2008/02/01.
    PMID: 18283207.
  • Bretz F, Maurer W, Brannath W, Posch M. A graphical approach to sequentially rejective multiple test procedures. Stat Med. 2009;28(4):586-604.
    PMID: 19051220.
  • Buyse M, Molenberghs G, Paoletti X, Oba K, Alonso A, Van der Elst W, Burzykowski T. Statistical evaluation of surrogate endpoints with examples from cancer clinical trials. Biom J. 2016;58(1):104-32. Epub 2015/02/12.
    PMID: 25682941.
  • Caille A, Tavernier E, Taljaard M, Desmee S. Methodological review showed that time-to-event outcomes are often inadequately handled in cluster randomized trials. J Clin Epidemiol. 2021;134:125-37. Epub 2021/02/10.
    PMID: 33581243.
  • Campbell MJ, Walters SJ. How to design, analyse and report cluster randomised trials in medicine and health related research. 2014 Chichester: John Wiley & Sons, Ltd.
  • Campbell MK, Piaggio G, Elbourne DR, Altman DG, Consort Group. Consort 2010 statement: Extension to cluster randomised trials. BMJ. 2012;345:e5661. Epub 2012/09/07.
    PMID: 22951546.
  • Candel MJ, van Breukelen GJ. Varying cluster sizes in trials with clusters in one treatment arm: Sample size adjustments when testing treatment effects with linear mixed models. Statistics in Medicine. 2009;28(18):2307-24. Epub 2009/05/01.
    PMID: 19472169.
  • Candel MJ, van Breukelen GJ. Sample size adjustments for varying cluster sizes in cluster randomized trials with binary outcomes analyzed with second-order PQL mixed logistic regression. Statistics in Medicine. 2010;29(14):1488-501. Epub 2010/01/27.
    PMID: 20101669.
  • Candel MJ, van Breukelen GJ. Repairing the efficiency loss due to varying cluster sizes in two-level two-armed randomized trials with heterogeneous clustering. Statistics in Medicine. 2016;35(12):2000-15. Epub 2016/01/12.
    PMID: 26756696.
  • Candlish J, Teare MD, Dimairo M, Flight L, Mandefield L, Walters SJ. Appropriate statistical methods for analysing partially nested randomised controlled trials with continuous outcomes: a simulation study. BMC Med Res Methodol. 2018;18(1):105. Epub 2018/10/11.
    PMID: 30314463.
  • Carlbring P, Bohman S, Brunt S, Buhrman M, Westling BE, Ekselius L, Andersson G. Remote treatment of panic disorder: A randomized trial of internet-based cognitive behavior therapy supplemented with telephone calls. Am J Psychiatry. 2006;163(12):2119-25. Epub 2006/12/08.
    PMID: 17151163.
  • Chen LM, Ibrahim JG, Chu H. Sample size determination in shared frailty models for multivariate time-to-event data. J Biopharm Stat. 2014;24(4):908-23. Epub 2014/04/05.
    PMID: 24697252.
  • Cohen J. Statistical power analysis for the behavioral sciences. 1988 (2nd ed.) New York: Academic Press.
  • Collins LM. Optimization of behavioral, biobehavioral, and biomedical interventions: The Multiphase Optimization Strategy (MOST). 2018 Cham, Switzerland: Springer International Publishing.
  • Collins LM, Kugler KC. Optimization of behavioral, biobehavioral, and biomedical interventions: Advanced topics. 2018 Cham, Switzerland: Springer International Publishing.
  • Collins LM, Kugler KC, Gwadz MV. Optimization of multicomponent behavioral and biobehavioral interventions for the prevention and treatment of HIV/AIDS. AIDS Behav. 2016;20 Suppl 1(0 1):S197-214.
    PMID: 26238037.
  • Cook JA, Julious SA, Sones W, Hampson LV, Hewitt C, Berlin JA, et al. Practical help for specifying the target difference in sample size calculations for RCTs: the DELTA2 five-stage study, including a workshop. Health Technol Assess. 2019;23(60):1-88.
    PMID: 31661431.
  • Cook JA, Bruckner T, MacLennan GS, Seiler CM. Clustering in surgical trials--database of intracluster correlations. Trials. 2012;13:2. Epub 2012/01/06.
    PMID: 22217216.
  • Copas A, Lewis JJ, Thompson JA, Davey C, Baio G, Hargreaves JR. Designing a stepped wedge trial: Three main designs, carry-over effects and randomisation approaches. Trials. 2015;16(1):352. Epub 2015/08/17.
    PMID: 26279154.
  • Cornfield J. Randomization by group: A formal analysis. American Journal of Epidemiology. 1978;108(2):100-102. Epub 1978/08/01.
    PMID: 707470.
  • Crespi CM. Improved designs for cluster randomized trials. Annu Rev Public Health. 2016;37:1-16. Epub 2016/01/18.
    PMID: 26789386.
  • Crespi CM, Maxwell AE, Wu S. Cluster randomized trials of cancer screening interventions: Are appropriate statistical methods being used? Contemporary Clinical Trials. 2011;32(4):477-84. Research Support, N.I.H., Extramural. Epub 2011/03/05.
    PMID: 21382513.
  • Cully JA, Breland JY, Robertson S, Utech AE, Hundt N, Kunik ME, et al. Behavioral health coaching for rural veterans with diabetes and depression: A patient randomized effectiveness implementation trial. BMC Health Serv Res. 2014;14:191. Epub 2014/04/28.
    PMID: 24774351.
  • Curran GM, Bauer M, Mittman B, Pyne JM, Stetler C. Effectiveness-implementation hybrid designs: Combining elements of clinical effectiveness and implementation research to enhance public health impact. Med Care. 2012;50(3):217-26.
    PMID: 22310560.
  • Damschroder LJ, Aron DC, Keith RE, Kirsh SR, Alexander JA, Lowery JC. Fostering implementation of health services research findings into practice: A consolidated framework for advancing implementation science. Implement Sci. 2009;4:50. Epub 2009/08/07.
    PMID: 19664226.
  • Diaz-Ordaz K, Kenward MG, Cohen A, Coleman CL, Eldridge S. Are missing data adequately handled in cluster randomised trials? A systematic review and guidelines. Clin Trials. 2014;11(5):590-600. Epub 2014/06/05.
    PMID: 24902924.
  • Diehr P, Martin DC, Koepsell T, Cheadle A. Breaking the matches in a paired t-test for community interventions when the number of pairs is small. Statistics in Medicine. 1995;14(13):1491-1504.
    PMID: 7481187.
  • Dmitrienko A, D'Agostino RB. Multiplicity considerations in clinical trials. N Engl J Med. 2018;378(22):2115-2122.
    PMID: 29847757.
  • Donner A. An empirical study of cluster randomization. International Journal of Epidemiology. 1982;11(3):283-286. Epub 1982/09/01.
    PMID: 7129743.
  • Donner A, Birkett N, Buck C. Randomization by cluster: Sample size requirements and analysis. American Journal of Epidemiology. 1981;114(6):906-914. Epub 1981/12/01.
    PMID: 7315838.
  • Donner A, Brown KS, Brasher P. A methodological review of non-therapeutic intervention trials employing cluster randomization, 1979-1989. Int J Epidemiol. 1990;19(4):795-800. Epub 1990/12/01.
    PMID: 2084005.
  • Donner A, Klar N. Design and analysis of cluster randomization trials in health research. 2000 London: Arnold.
  • Donner A, Taljaard M, Klar N. The merits of breaking the matches: A cautionary tale. Statistics in Medicine. 2007;26(9):2036-51. Epub 2006/08/24.
    PMID: 16927437.
  • Dwan K, Li T, Altman DG, Elbourne DR. CONSORT 2010 statement: Extension to randomised crossover trials. BMJ. 2019;366:l4378. Epub 2019/07/31.
    PMID: 31366597.
  • Edgington ES, Onghena P. Randomization tests. 2007 (4th ed.) Boca Raton, FL: Chapman & Hall/CRC.
  • Eichner FA, Groenwold RHH, Grobbee DE, Rengerink O. Systematic review showed that stepped-wedge cluster randomized trials often did not reach their planned sample size. J Clin Epidemiol. 2019;107:89-100. Epub 2018/11/21.
    PMID: 30458261.
  • Eldridge S, Ashby D, Kerry S. Sample size for cluster randomized trials: effect of coefficient of variation of cluster size and analysis method. Int J Epidemiol. 2006;35(5):1292-300. Epub 2006/09/01.
    PMID: 16943232.
  • Eldridge S, Ashby D, Bennett C, Wakelin M, Feder G. Internal and external validity of cluster randomised trials: Systematic review of recent trials. BMJ. 2008;336(7649):876-80. Epub 2008/03/25.
    PMID: 18364360.
  • Eldridge S, Kerry S. A practical guide to cluster randomized trials in health research. 2012 London: Arnold.
  • Fay MP, Graubard BI. Small-sample adjustments for Wald-type tests using sandwich estimators. Biometrics. 2001;57(4):1198-206.
    PMID: 11764261.
  • Fleischmann R, Schiff M, van der Heijde D, Ramos-Remus C, Spindler A, Stanislav M, et al. Baricitinib, methotrexate, or combination in patients with rheumatoid arthritis and no or limited prior disease-modifying antirheumatic drug treatment. Arthritis Rheumatol. 2017;69(3):506-517.
    PMID: 27723271.
  • Fleiss JL, Levin B, Paik MC. Statistical methods for rates and proportions. 2003 (3rd ed.) Hoboken, NJ: John Wiley & Sons, Inc.
  • Friedman LM, Furberg CD, DeMets DL, Reboussin DM, Granger CB. Fundamentals of clinical trials. 2015 (5th ed.) New York: Springer.
  • Fu D. A comparison study of general linear mixed model and permutation tests in group-randomized trials under non-normal error distributions. [Dissertation] 2006University of Memphis, Memphis, TN.
  • Gail MH, Pfeiffer R, Van Houwelingen HC, Carroll RJ. On meta-analytic assessment of surrogate outcomes. Biostatistics. 2000;1(3):231-46.
    PMID: 12933506.
  • Gail MH, Mark SD, Carroll RJ, Green SB, Pee D. On design considerations and randomization-based inference for community intervention trials. Statistics in Medicine. 1996;15(11):1069-1092. Epub 1996/06/15.
    PMID: 8804140.
  • Gao F, Earnest A, Matchar DB, Campbell MJ, Machin D. Sample size calculations for the design of cluster randomized trials: A summary of methodology. Contemp Clin Trials. 2015;42:41-50. Epub 2015/03/09.
    PMID: 25766887.
  • Girling AJ, Hemming K. Statistical efficiency and optimal design for stepped cluster studies under linear mixed effects models. Stat Med. 2016;35(13):2149-66. Epub 2016/01/07.
    PMID: 26748662.
  • Girling AJ. Relative efficiency of unequal cluster sizes in stepped wedge and other trial designs under longitudinal or cross-sectional sampling. Stat Med. 2018;37(30):4652-4664. Epub 2018/09/12.
    PMID: 30209812.
  • Glasgow RE, Battaglia C, McCreight M, Ayele RA, Rabin BA. Making implementation science more rapid: Use of the RE-AIM framework for mid-course adaptations across five health services research projects in the Veterans Health Administration. Front Public Health. 2020;8:194. Epub 2020/05/27.
    PMID: 32528921.
  • Glasgow RE, Vogt TM, Boles SM. Evaluating the public health impact of health promotion interventions: The RE-AIM framework. Am J Public Health. 1999;89(9):1322-7.
    PMID: 10474547.
  • Grantham KL, Kasza J, Heritier S, Hemming K, Forbes AB. Accounting for a decaying correlation structure in cluster randomized trials with continuous recruitment. Stat Med. 2019;38(11):1918-1934. Epub 2019/01/21.
    PMID: 30663132.
  • Grayling MJ, Mander AP, Wason JMS. Admissible multiarm stepped-wedge cluster randomized trial designs. Stat Med. 2019;38(7):1103-1119. Epub 2018/11/06.
    PMID: 30402914.
  • Hall AJ, Inskip HM, Loik F, Day NE, O’Conor G, Bosch X, et al. The Gambia Hepatitis Intervention Study. Cancer Res. 1987;47(21):5782-7. Epub 1987/11/01.
    PMID: 2822233.
  • Harrison LJ, Chen T, Wang R. Power calculation for cross-sectional stepped wedge cluster randomized trials with variable cluster sizes. Biometrics. 2020;76(3):951-962. Epub 2019/11/04.
    PMID: 31625596.
  • Hayes RJ, Moulton LH. Cluster randomised trials. 2017 (2nd ed.) Boca Raton, FL: CRC Press.
  • Hedges LV, Citkowicz M. Estimating effect size when there is clustering in one treatment group. Behav Res Methods. 2015;47(4):1295-1308. Epub 2014/11/27.
    PMID: 25425393.
  • Hemming K, Carroll K, Thompson JA, Forbes AB, Taljaard M, SW-CRT Review Group. Quality of stepped-wedge trial reporting can be reliably assessed using an updated CONSORT: Crowd-sourcing systematic review. J Clin Epidemiol. 2019;107:77-88. Epub 2018/12/01.
    PMID: 30500405.
  • Hemming K, Eldridge S, Forbes G, Weijer C, Taljaard M. How to design efficient cluster randomised trials. BMJ. 2017;358:j3064. Epub 2017/07/16.
    PMID: 28710062.
  • Hemming K, Haines TP, Chilton PJ, Girling AJ, Lilford RJ. The stepped wedge cluster randomised trial: Rationale, design, analysis, and reporting. BMJ. 2015b;350:h391. Epub 2015/02/11.
    PMID: 25662947.
  • Hemming K, Kasza J, Hooper R, Forbes AB, Taljaard M. A tutorial on sample size calculation for multiple-period cluster randomized parallel, cross-over and stepped-wedge trials using the Shiny CRT Calculator. Int J Epidemiol. 2020;49(3):979-995. Epub 2020/02/22.
    PMID: 32087011.
  • Hemming K, Lilford RJ, Girling AJ. Stepped-wedge cluster randomised controlled trials: A generic framework including parallel and multiple-level designs. Stat Med. 2015a;34(2):181-96. Epub 2014/10/24.
    PMID: 25346484.
  • Hemming K, Taljaard M. Sample size calculations for stepped wedge and cluster randomised trials: A unified approach. J Clin Epidemiol. 2016;69:137-46. Epub 2015/09/05.
    PMID: 26344808.
  • Hemming K, Taljaard M. Reflection on modern methods: When is a stepped-wedge cluster randomized trial a good study design choice? Int J Epidemiol. 2020;49(3):1043-1052. Epub 2020/05/09.
    PMID: 32386407.
  • Hemming K, Taljaard M, McKenzie JE, Hooper R, Copas A, Thompson JA, et al. Reporting of stepped wedge cluster randomised trials: Extension of the CONSORT 2010 statement with explanation and elaboration. BMJ. 2018;363:k1614. Epub 2018/11/09.
    PMID: 30413417.
  • Heo M, Leon AC. Sample size requirements to detect an intervention by time interaction in longitudinal cluster randomized clinical trials. Statistics in Medicine. 2009;28(6):1017-27. Epub 2009/01/21.
    PMID: 19153969.
  • Heo M, Litwin AH, Blackstock O, Kim N, Arnsten JH. Sample size determinations for group-based randomized clinical trials with different levels of data hierarchy between experimental and control arms. Stat Methods Med Res. 2017;26(1):399-413. Epub 2016/07/11.
    PMID: 25125453.
  • Heo M, Xue X, Kim MY. Sample size requirements to detect an intervention by time interaction in longitudinal cluster randomized clinical trials with random slopes. Computational Statistics & Data Analysis. 2013;60:169-178. Epub 2013/03/06.
    PMID: 23459110.
  • Hilton Boon M, Craig P, Thomson H, Campbell M, Moore L. Regression discontinuity designs in health: A systematic review. Epidemiology. 2021;32(1):87-93. Epub 2020/11/30. Erratum.
    PMID: 33196561.
  • Hirano K, Imbens GW, Rubin DB, Zhou XH. Assessing the effect of an influenza vaccine in an encouragement design. Biostatistics. 2000;1(1):69-88.
    PMID: 12933526.
  • Hooper R, Copas A. Stepped wedge trials with continuous recruitment require new ways of thinking. J Clin Epidemiol. 2019;116:161-166. Epub 2019/06/11.
    PMID: 31272885.
  • Hooper R, Forbes AB, Hemming K, Takeda A, Beresford L. Analysis of cluster randomised trials with an assessment of outcome at baseline. BMJ. 2018;360:k1121. Epub 2018/03/20.
    PMID: 29559436.
  • Hooper R, Teerenstra S, de Hoop E, Eldridge S. Sample size calculation for stepped wedge and other longitudinal cluster randomised trials. Stat Med. 2016;35(26):4718-4728. Epub 2016/06/28.
    PMID: 27350420.
  • Hoover DR. Clinical trials of behavioral interventions with heterogeneous teaching subgroup effects. Statistics in Medicine. 2002;21(10):1351-1364.
    PMID: 12185889.
  • Huang S, Fiero MH, Bell ML. Generalized estimating equations in cluster randomized trials with a small number of clusters: Review of practice and simulation study. Clin Trials. 2016;13(4):445-9. Epub 2016/04/19.
    PMID: 27094487.
  • Hughes JP, Granston TS, Heagerty PJ. Current issues in the design and analysis of stepped wedge trials. Contemp Clin Trials. 2015;45(Pt A):55-60. Epub 2015/08/03.
    PMID: 26247569.
  • Hussey MA, Hughes JP. Design and analysis of stepped wedge cluster randomized trials. Contemp Clin Trials. 2007;28(2):182-91. Epub 2006/07/07.
    PMID: 16829207.
  • Ivers NM, Taljaard M, Dixon S, Bennett C, McRae A, Taleban J, et al. Impact of CONSORT extension for cluster randomised trials on quality of reporting and study methodology: Review of random sample of 300 trials, 2000-8. BMJ. 2011;343:d5886. Epub 2011/09/29.
    PMID: 21948873.
  • Jackson CL, Colborn K, Gao D, Rao S, Slater HC, Parikh S, et al. Design and analysis of a 2-year parallel follow-up of repeated ivermectin mass drug administrations for control of malaria: Small sample considerations for cluster-randomized trials with count data. Clin Trials. 2021:17407745211028581. Epub 2021/07/03.
    PMID: 34218684.
  • Jahn-Eimermacher A, Ingel K, Schneider A. Sample size in cluster-randomized trials with time to event as the primary endpoint. Statistics in Medicine. 2013;32(5):739-51. Epub 2012/08/02.
    PMID: 22865817.
  • Jakobsen JC, Gluud C, Wetterslev J, Winkel P. When and how should multiple imputation be used for handling missing data in randomised clinical trials - a practical guide with flowcharts. BMC Med Res Methodol. 2017;17(1):162. Epub 2017/12/06.
    PMID: 29207961.
  • Janega JB, Murray DM, Varnell SP, Blitstein JL, Birnbaum AS, Lytle LA. Assessing the most powerful analysis method for school-based intervention studies with alcohol, tobacco, and other drug outcomes. Addict Behav. 2004;29(3):595-606. Epub 2004/03/1.
    PMID: 15050677.
  • Jeffery RW, Linde J, Finch E, Rothman AJ, King CM. A satisfaction enhancement intervention for long-term weight loss. Obesity. 2006;14(5):863-869.
    PMID: 16855196.
  • Johnson JL, Kreidler SM, Catellier DJ, Murray DM, Muller KE, Glueck DH. Recommendations for choosing an analysis method that controls Type I error for unbalanced cluster sample designs with Gaussian outcomes. Statistics in Medicine. 2015;34(27):3531-45. Epub 2015/06/18.
    PMID: 26089186.
  • Kahan BC, Forbes G, Ali Y, Jairath V, Bremner S, Harhay MO, et al. Increased risk of type I errors in cluster randomised trials with small or medium numbers of clusters: A review, reanalysis, and simulation study. Trials. 2016;17(1):438. Epub 2016/09/06.
    PMID: 27600609.
  • Kahan BC, Morris TP. Assessing potential sources of clustering in individually randomised trials. BMC Med Res Methodol. 2013;13:58. Epub 2013/04/18.
    PMID: 23590245.
  • Kasza J, Bowden R, Forbes AB. Information content of stepped wedge designs with unequal cluster-period sizes in linear mixed models: Informing incomplete designs. Stat Med. 2021;40(7):1736-1751. Epub 2021/01/12.
    PMID: 33438255.
  • Kasza J, Forbes AB. Inference for the treatment effect in multiple-period cluster randomised trials when random effect correlation structure is misspecified. Stat Methods Med Res. 2019b;28(10-11):3112-3122. Epub 2018/09/07.
    PMID: 30189794.
  • Kasza J, Forbes AB. Information content of cluster-period cells in stepped wedge trials. Biometrics. 2019a;75(1):144-152. Epub 2018/07/23.
    PMID: 30051909.
  • Kasza J, Hemming K, Hooper R, Matthews JNS, Forbes AB. Impact of non-uniform correlation structure on sample size and power in multiple-period cluster randomised trials. Stat Methods Med Res. 2019a;28(3):703-716. Epub 2017/10/13.
    PMID: 29027505.
  • Kasza J, Hooper R, Copas A, Forbes AB. Sample size and power calculations for open cohort longitudinal cluster randomized trials. Stat Med. 2020 Epub 2020/03/04.
    PMID: 32133688.
  • Kasza J, Taljaard M, Forbes AB. Information content of stepped-wedge designs when treatment effect heterogeneity and/or implementation periods are present. Stat Med. 2019b;38(23):4686-4701. Epub 2019/07/18.
    PMID: 31321806.
  • Kauermann G, Carroll RJ. A note on the efficiency of sandwich covariance matrix estimation. Journal of the American Statistical Association. 2001;96(456):1387-1396.
  • Kennedy-Shaffer L, Hughes MD. Sample size estimation for stratified individual and cluster randomized trials with binary outcomes. Stat Med. 2020;39(10):1489-1513. Epub 2020/01/31.
    PMID: 32003492.
  • Keogh RH, Shaw PA, Gustafson P, Carroll RJ, Deffner V, Dodd KW, et al. STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 1-basic theory and simple methods of adjustment. Stat Med. 2020;39(16):2197-2231. Epub 2020/04/03.
    PMID: 32246539.
  • Korn EL, Freidlin B. Surrogate and intermediate endpoints in randomized trials: What's the goal? Clin Cancer Res. 2018;24(10):2239-2240. Epub 2018/02/12.
    PMID: 29440189.
  • Kreidler SM, Muller KE, Grunwald GK, Ringham BM, Coker-Dukowitz ZT, Sakhadeo UR, et al. GLIMMPSE: Online power computation for linear models with and without a baseline covariate. Journal of Statistical Software. 2013;54(10): Epub 2014/01/10.
    PMID: 24403868.
  • Kristunas CA, Smith KL, Gray LJ. An imbalance in cluster sizes does not lead to notable loss of power in cross-sectional, stepped-wedge cluster randomised trials with a continuous outcome. Trials. 2017;18(1):109. Epub 2017/03/07.
    PMID: 28270224.
  • Lai MH, Kwok OM. Estimating standardized effect sizes for two- and three-level partially nested data. Multivariate Behav Res. 2016;51(6):740-756. Epub 2016/11/01.
    PMID: 27802077.
  • Lauer SA, Kleinman KP, Reich NG. The effect of cluster size variability on statistical power in cluster-randomized trials. PLoS One. 2015;10(4):e0119074. Epub 2015/04/01.
    PMID: 25830416.
  • Lavori PW, Dawson R. A design for testing clinical strategies: biased adaptive within‐subject randomization. Journal of the Royal Statistical Society, Series A (Statistics in Society). 2000;163(1):29-38.
  • Lee KJ, Thompson SG. The use of random effects model to allow for clustering of individually randomized trials. Clinical Trials. 2005b;2(2):163-173.
    PMID: 16279138.
  • Lee KJ, Thompson SG. Clustering by health professional in individually randomised trials. BMJ. 2005a;330(7483):142-4. Epub 2005/01/15.
    PMID: 15649931.
  • Lei H, Nahum-Shani I, Lynch K, Oslin D, Murphy SA. A "SMART" design for building individualized treatment sequences. Annu Rev Clin Psychol. 2012;8:21-48. Epub 2011/12/12.
    PMID: 22224838.
  • Leyrat C, Morgan KE, Leurent B, Kahan BC. Cluster randomized trials with a small number of clusters: which analyses should be used? Int J Epidemiol. 2018;47(3):1012. Epub 2018/03/27.
    PMID: 29596636.
  • Li F. Design and analysis considerations for cohort stepped wedge cluster randomized trials with a decay correlation structure. Stat Med. 2020;39(4):438-455. Epub 2019/12/04.
    PMID: 31797438.
  • Li F, Hughes JP, Hemming K, Taljaard M, Melnick ER, Heagerty PJ. Mixed-effects models for the design and analysis of stepped wedge cluster randomized trials: An overview. Stat Methods Med Res. 2021;30(2):612-639. Epub 2020/07/06.
    PMID: 32631142.
  • Li F, Lokhnygina Y, Murray DM, Heagerty PJ, DeLong ER. An evaluation of constrained randomization for the design and analysis of group-randomized trials. Statistics in Medicine. 2016;35(10):1565-79. Epub 2015/11/23.
    PMID: 26598212.
  • Li F, Turner EL, Heagerty PJ, Murray DM, Vollmer WM, DeLong ER. An evaluation of constrained randomization for the design and analysis of group-randomized trials with binary outcomes. Statistics in Medicine. 2017b;36(24):3791-3806. Epub 2017/08/09.
    PMID: 28786223.
  • Li G, Taljaard M, Van den Heuvel ER, Levine MA, Cook DJ, Wells GA, et al. An introduction to multiplicity issues in clinical trials: The what, why, when and how. Int J Epidemiol. 2017a;46(2):746-755. Epub 2016/12/26.
    PMID: 28025257.
  • Li J, Jung SH. Sample size calculation for cluster randomization trials with a time-to-event endpoint. Stat Med. 2020;39(25):3608-3623. Epub 2020/07/30.
    PMID: 33463748.
  • Li P, Redden DT. Small sample performance of bias-corrected sandwich estimators for cluster-randomized trials with binary outcomes. Stat Med. 2015;34(2):281-96. Epub 2014/10/24.
    PMID: 25345738.
  • Little RJ, D'Agostino RB, Cohen ML, Dickersin K, Emerson SS, Farrar JT, et al. The prevention and treatment of missing data in clinical trials. N Engl J Med. 2012;367(14):1355-60.
    PMID: 23034025.
  • Liu J, Xiong C, Liu L, Wang G, Jingqin L, Gao F, et al. Relative efficiency of equal versus unequal cluster sizes in cluster randomized trials with a small number of clusters. J Biopharm Stat. 2021;31(2):191-206. Epub 2020/09/24.
    PMID: 32970522.
  • Lohr S, Schochet PZ, Sanders E. Partially nested randomized controlled trials in education research: A guide to design and analysis. 2014Washington, DC: National Center for Educational Research, Institute of Education Sciences, U.S. Department of Education. Available at: https://ies.ed.gov/ncer/pubs/20142000/pdf/20142000.pdf.
  • Lu B, Preisser JS, Qaqish BF, Suchindran C, Bangdiwala SI, Wolfson M. A comparison of two bias-corrected covariance estimators for generalized estimating equations. Biometrics. 2007;63(3):935-41.
    PMID: 17825023.
  • Luo W, Cappaert KJ, Ning L. Modelling partially cross-classified multilevel data. Br J Math Stat Psychol. 2015;68(2):342-62. Epub 2015/03/13.
    PMID: 25773173.
  • Mancl LA, DeRouen TA. A covariance estimator for GEE with improved small-sample properties. Biometrics. 2001;57(1):126-34.
    PMID: 11252587.
  • Manly BFJ, Navarro AJA. Randomization, bootstrap and Monte Carlo methods in biology. 2021 (4th ed.) Boca Raton, FL: CRC Press.
  • Martin JT, Taljaard M, Girling AJ, Hemming K. Systematic review finds major deficiencies in sample size methodology and reporting for stepped-wedge cluster randomised trials. BMJ Open. 2016;6(2):e010166. Epub 2016/02/06.
    PMID: 26846897.
  • Martin JT, Hemming K, Girling AJ. The impact of varying cluster size in cross-sectional stepped-wedge cluster randomised trials. BMC Med Res Methodol. 2019;19(1):123. Epub 2019/06/14.
    PMID: 31200640.
  • Matthews JNS. Highly efficient stepped wedge designs for clusters of unequal size. Biometrics. 2020;76(4):1167-1176. Epub 2020/02/03.
    PMID: 31961447.
  • McCaffrey DF, Bell RM. Improved hypothesis testing for coefficients in generalized estimating equations with small samples of clusters. Stat Med. 2006;25(23):4081-98.
    PMID: 16456895.
  • McNeish D, Stapleton LM. Modeling clustered data with very few clusters. Multivariate Behav Res. 2016;51(4):495-518. Epub 2016/06/07.
    PMID: 27269278.
  • Mdege ND, Man MS, Brown CATN, Torgerson DJ. Systematic review of stepped wedge cluster randomized trials shows that design is particularly used to evaluate interventions during routine implementation. J Clin Epidemiol. 2011;64(9):936-48. Epub 2011/03/16.
    PMID: 21411284.
  • Mills EJ, Chan AW, Wu P, Vail A, Guyatt GH, Altman DG. Design, analysis, and presentation of crossover trials. Trials. 2009;10:27. Epub 2009/04/30.
    PMID: 19405975.
  • Moerbeek M, Teerenstra S. Power analysis of trials with multilevel data. 2016 Boca Raton: CRC Press.
  • Moerbeek M. Optimal designs for group randomized trials and group administered treatments with outcomes at the subject and group level. Stat Methods Med Res. 2020;29(3):797-810. Epub 2019/05/01.
    PMID: 31041883.
  • Moerbeek M, Wong WK. Sample size formulae for trials comparing group and individual treatments in a multilevel model. Statistics in Medicine. 2008;27(15):2850-64. Epub 2007/10/26.
    PMID: 17960589.
  • Morel JG, Bokossa MC, Neerchal NK. Small sample correction for the variance of GEE estimators. Biometrical Journal. 2003;45(4):395-409.
  • Moscoe E, Bor J, Bärnighausen T. Regression discontinuity designs are underutilized in medicine, epidemiology, and public health: A review of current and best practice. J Clin Epidemiol. 2015;68(2):122-33.
    PMID: 25579639.
  • Moullin JC, Dickson KS, Stadnick NA, Albers B, Nilsen P, Broder-Fingert S, et al. Ten recommendations for using implementation frameworks in research and practice. Implement Sci Commun. 2020;1:42. Epub 2020/04/30.
    PMID: 32885199.
  • Moulton LH, Golub JE, Durovni B, Cavalcante SC, Pacheco AG, Saraceni V, et al. Statistical design of THRio: A phased implementation clinic-randomized study of a tuberculosis preventive therapy intervention. Clin Trials. 2007;4(2):190-9.
    PMID: 17456522.
  • Moyer J, Murray DM. Further comparisons of the random coefficients model with repeated measures ANOVA in longitudinal group-randomized trials. In Joint Statistical Meetings [Virtual Conference]. 2021.
  • Murphy SA. An experimental design for the development of adaptive treatment strategies. Stat Med. 2005;24(10):1455-1481.
    PMID: 15586395.
  • Murray DM. Design and analysis of group-randomized trials. 1998 New York: Oxford University Press.
  • Murray DM. Statistical models appropriate for designs often used in group-randomized trials. Stat Med. 2001;20(9-10):1373-85. Epub 2001/05/09.
    PMID: 11343359.
  • Murray DM, Blitstein JL. Methods to reduce the impact of intraclass correlation in group-randomized trials. Evaluation Review. 2003;27(1):79-103. Epub 2003/02/06.
    PMID: 12568061.
  • Murray DM, Blitstein JL, Hannan PJ, Baker WL, Lytle LA. Sizing a trial to alter the trajectory of health behaviours: Methods, parameter estimates, and their application. Statistics in Medicine. 2007;26(11):2297-2316. Epub 2006/10/18.
    PMID: 17044139.
  • Murray DM, Hannan PJ, Pals SL, McCowen RG, Baker WL, Blitstein JL. A comparison of permutation and mixed-model regression methods for the analysis of simulated data in the context of a group-randomized trial. Statistics in Medicine. 2006;25(3):375-388. Epub 2005/09/07.
    PMID: 16143991.
  • Murray DM, Pals SL, Blitstein JL, Alfano CM, Lehman J. Design and analysis of group-randomized trials in cancer: A review of current practices. Journal of the National Cancer Institute. 2008;100(7):483-491. Epub 2008/03/25.
    PMID: 18364501.
  • Murray DM, Pals SL, George SM, Kuzmichev A, Lai GY, Lee J, et al. Design and analysis of group-randomized trials in cancer: A review of current practices. Preventive Medicine. 2018;111:241-247. Epub 2018/03/16.
    PMID: 29551717.
  • Murray DM, Taljaard M, Turner EL, George SM. Essential ingredients and innovations in the design and analysis of group-randomized trials. Annu Rev Public Health. 2020;41:1-19. Epub 2019/12/23.
    PMID: 31869281.
  • Murray DM, Varnell SP, Blitstein JL. Design and analysis of group-randomized trials: A review of recent methodological developments. American Journal of Public Health. 2004;94(3):423-432. Epub 2004/03/05.
    PMID: 14998806.
  • Nahum-Shani I, Almirall D. An Introduction to Adaptive Interventions and SMART Designs in Education. 2019 Washington, DC: National Center for Special Education Research, Institute of Education Sciences, U.S. Department of Education. Available at: https://files.eric.ed.gov/fulltext/ED600470.pdf.
  • Naser AM, Unicomb L, Doza S, Ahmed KM, Rahman M, Uddin MN, et al. Stepped-wedge cluster-randomised controlled trial to assess the cardiovascular health effects of a managed aquifer recharge initiative to reduce drinking water salinity in southwest coastal Bangladesh: Study design and rationale. BMJ Open. 2017;7(9):e015205. Epub 2017/09/01.
    PMID: 28864689.
  • Nickless A, Voysey M, Geddes J, Yu LM, Fanshawe TR. Mixed effects approach to the analysis of the stepped wedge cluster randomised trial-Investigating the confounding effect of time through simulation. PLoS One. 2018;13(12):e0208876. Epub 2018/12/13.
    PMID: 30543671.
  • Oltean H, Gagnier JJ. Use of clustering analysis in randomized controlled trials in orthopaedic surgery. BMC Med Res Methodol. 2015;15:17. Epub 2015/04/19.
    PMID: 25887529.
  • Pals SL, Murray DM, Alfano CM, Shadish WR, Hannan PJ, Baker WL. Individually randomized group treatment trials: A critical appraisal of frequently used design and analytic approaches. American Journal of Public Health. 2008;98(8):1418-1424. Epub 2008/06/12. Erratum.
    PMID: 18556603.
  • Pals SL, Wiegand RE, Murray DM. Ignoring the group in group-level HIV/AIDS intervention trials: A review of reported design and analytic methods. AIDS. 2011;25(7):989-96. Epub 2011/04/14.
    PMID: 21487252.
  • Pan W, Wall MM. Small-sample adjustments in using the sandwich variance estimator in generalized estimating equations. Stat Med. 2002;21(10):1429-41.
    PMID: 12185894.
  • Peden CJ, Stephens T, Martin G, Kahan BC, Thomson A, Rivett K, et al. Effectiveness of a national quality improvement programme to improve survival after emergency abdominal surgery (EPOCH): A stepped-wedge cluster-randomised trial. Lancet. 2019;393(10187):2213-2221. Epub 2019/04/25.
    PMID: 31030986.
  • Piaggio G, Elbourne DR, Pocock SJ, Evans SJ, Altman DG. Reporting of noninferiority and equivalence randomized trials: Extension of the CONSORT 2010 statement. JAMA. 2012;308(24):2594-604.
    PMID: 23268518.
  • Preisser JS, Lu B, Qaqish BF. Finite sample adjustments in estimating equations and covariance estimators for intracluster correlations. Stat Med. 2008;27(27):5764-85.
    PMID: 18680122.
  • Prentice RL. Surrogate endpoints in clinical trials: Definition and operational criteria. Stat Med. 1989;8(4):431-40.
    PMID: 2727467.
  • Proschan MA. On the distribution of the unpaired t-statistic with paired data. Statistics in Medicine. 1996;15(10):1059-1063. Epub 1996/05/30.
    PMID: 8783442.
  • Raab GM, Butcher I. Randomization inference for balanced cluster-randomized trials. Clin Trials. 2005;2(2):130-40.
    PMID: 16279135.
  • Ranganathan P, Pramesh CS, Aggarwal R. Common pitfalls in statistical analysis: Intention-to-treat versus per-protocol analysis. Perspect Clin Res. 2016;7(3):144-6.
    PMID: 27453832.
  • Raudenbush SW, Bryk AS. Hierarchical linear models. 2002 (2nd ed.) Thousand Oaks, CA: Sage Publications, Inc.
  • Rehal S, Morris TP, Fielding KL, Carpenter JR, Phillips PP. Non-inferiority trials: Are they inferior? A systematic review of reporting in major medical journals. BMJ Open. 2016;6(10):e012594. Epub 2016/10/07.
    PMID: 27855102.
  • Roberts C. The implications of noncompliance for randomized trials with partial nesting due to group treatment. Stat Med. 2021;40(2):349-368. Epub 2020/10/28.
    PMID: 33118193.
  • Roberts C, Batistatou E, Roberts SA. Design and analysis of trials with a partially nested design and a binary outcome measure. Stat Med. 2016;35(10):1616-36. Epub 2015/12/15.
    PMID: 26670388.
  • Roberts C, Roberts SA. Design and analysis of clinical trials with clustering effects due to treatment. Clinical Trials. 2005;2(2):152-162.
    PMID: 16279137.
  • Roberts C, Walwyn R. Design and analysis of non-pharmacological treatment trials with multiple therapists per patient. Statistics in Medicine. 2013;32(1):81-98. Epub 2012/08/02.
    PMID: 22865729.
  • Rochon J, Bhapkar M, Pieper CF, Kraus WE. Application of the marginal structural model to account for suboptimal adherence in a randomized controlled trial. Contemp Clin Trials Commun. 2016;4:222-228. Epub 2016/11/03.
    PMID: 27900372.
  • Rosenberger WF, Uschner D, Wang Y. Randomization: The forgotten component of the randomized clinical trial. Stat Med. 2019;38(1):1-12. Epub 2018/07/25.
    PMID: 30047159.
  • Rutterford C, Copas A, Eldridge S. Methods for sample size determination in cluster randomized trials. Int J Epidemiol. 2015b;44(3):1051-67. Epub 2015/07/13.
    PMID: 26174515.
  • Rutterford C, Taljaard M, Dixon S, Copas A, Eldridge S. Reporting and methodological quality of sample size calculations in cluster randomized trials could be improved: A review. J Clin Epidemiol. 2015a;68(6):716-23. Epub 2014/12/15.
    PMID: 25523375.
  • Scott JM, deCamp A, Juraska M, Fay MP, Gilbert PB. Finite-sample corrected generalized estimating equation of population average treatment effects in stepped wedge cluster randomized trials. Stat Methods Med Res. 2017;26(2):583-597. Epub 2014/09/29.
    PMID: 25267551.
  • Sexton M, Hebel JR. A clinical trial of change in maternal smoking and its effect on birth weight. JAMA. 1984;251(7):911-5.
    PMID: 6363731.
  • Shaw PA, Gustafson P, Carroll RJ, Deffner V, Dodd KW, Keogh RH, et al. STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 2-more complex methods of adjustment and advanced topics. Stat Med. 2020;39(16):2232-2263. Epub 2020/04/03.
    PMID: 32246531.
  • Shoag J, Halpern J, Eisner B, Lee R, Mittal S, Barbieri CE, Shoag D. Efficacy of prostate-specific antigen screening: Use of regression discontinuity in the PLCO cancer screening trial. JAMA Oncol. 2015;1(7):984-6. Erratum.
    PMID: 26291583.
  • Simpson JM, Klar N, Donner A. Accounting for cluster randomization: A review of Primary Prevention Trials, 1990 through 1993. American Journal of Public Health. 1995;85(10):1378-1383. Epub 1995/10/01.
    PMID: 7573621.
  • Smith EM, Pang H, Cirrincione C, Fleishman S, Paskett ED, Ahles T, et al. Effect of duloxetine on pain, function, and quality of life among patients with chemotherapy-induced painful peripheral neuropathy: A randomized clinical trial. JAMA. 2013;309(13):1359-67.
    PMID: 23549581.
  • Smith LM, Lévesque LE, Kaufman JS, Strumpf EC. Strategies for evaluating the assumptions of the regression discontinuity design: A case study using a human papillomavirus vaccination programme. Int J Epidemiol. 2017;46(3):939-949. Epub 2016/10/08.
    PMID: 28338752.
  • Snedecor GW, Cochran WM. Statistical methods. 1989 (8th ed.) Ames, IA: The Iowa State University Press.
  • Spoelstra SL, Schueller M, Sikorskii A. Testing an implementation strategy bundle on adoption and sustainability of evidence to optimize physical function in community-dwelling disabled and older adults in a Medicaid waiver: A multi-site pragmatic hybrid type III protocol. Implement Sci. 2019;14(1):60. Epub 2019/06/13.
    PMID: 31196137.
  • Sterba SK. Partially nested designs in psychotherapy trials: A review of modeling developments. Psychother Res. 2017;27(4):425-436. Epub 2015/12/19.
    PMID: 26686878.
  • Thompson JA, Hemming K, Forbes AB, Fielding KL, Hayes RJ. Comparison of small-sample standard-error corrections for generalised estimating equations in stepped wedge cluster randomised trials with a binary outcome: A simulation study. Stat Methods Med Res. 2021;30(2):425-439. Epub 2020/09/24.
    PMID: 32970526.
  • Thompson JA, Fielding KL, Davey C, Aiken AM, Hargreaves JR, Hayes RJ. Bias and inference from misspecified mixed-effect models in stepped wedge trial analysis. Stat Med. 2017;36(23):3670-3682. Epub 2017/05/28.
    PMID: 28556355.
  • Turner EL, Li F, Gallis JA, Prague M, Murray DM. Review of recent methodological developments in group-randomized trials: Part 1-Design. Am J Public Health. 2017a;107(6):907-915. Epub 2017/04/20.
    PMID: 28426295.
  • Turner EL, Prague M, Gallis JA, Li F, Murray DM. Review of recent methodological developments in group-randomized trials: Part 2-Analysis. Am J Public Health. 2017b;107(7):1078-1086. Epub 2017/05/18.
    PMID: 28520480.
  • van Breukelen GJ, Candel MJ, Berger M. Relative efficiency of unequal versus equal cluster sizes in cluster randomized and multicentre trials. Statistics in Medicine. 2007;26(13):2589-2603. Epub 2006/11/10.
    PMID: 17094074.
  • Varnell SP, Murray DM, Janega JB, Blitstein JL. Design and analysis of group-randomized trials: A review of recent practices. Am J Public Health. 2004;94(3):393-9. Epub 2004/03/05.
    PMID: 14998802.
  • Venkataramani AS, Bor J, Jena AB. Regression discontinuity designs in healthcare research. BMJ. 2016;352:i1216. Epub 2016/03/14.
    PMID: 26977086.
  • Vickers AJ, Van Calster B, Steyerberg EW. Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests. BMJ. 2016;352:i6. Epub 2016/01/25.
    PMID: 26810254.
  • Voldal EC, Hakhu NR, Xia F, Heagerty PJ, Hughes JP. swCRTdesign: An RPackage for Stepped Wedge Trial Design and Analysis. Comput Methods Programs Biomed. 2020;196:105514. Epub 2020/06/20.
    PMID: 32554025.
  • Wang J, Zhang S, Ahn C. Sample size calculation for count outcomes in cluster randomization trials with varying cluster sizes. Commun Stat Theory Methods. 2020;49(1):116-124. Epub 2018/12/21.
    PMID: 31768088.
  • Woertman W, de Hoop E, Moerbeek M, Zuidema SU, Gerritsen DL, Teerenstra S. Stepped wedge designs could reduce the required sample size in cluster randomized trials. J Clin Epidemiol. 2013;66(7):752-8. Epub 2013/03/22.
    PMID: 23523551.
  • Xia F, Hughes JP, Voldal EC, Heagerty PJ. Power and sample size calculation for stepped-wedge designs with discrete outcomes. Trials. 2021;22(1):598. Epub 2021/09/06.
    PMID: 34488848.
  • Xu X, Zhu H, Ahn C. Sample size considerations for stratified cluster randomization design with binary outcomes and varying cluster size. Stat Med. 2019;38(18):3395-3404. Epub 2019/04/29.
    PMID: 31033011.
  • You Z, Williams OD, Aban I, Kabagambe EK, Tiwari HK, Cutter G. Relative efficiency and sample size for cluster randomized trials with variable cluster sizes. Clin Trials. 2011;8(1):27-36. Epub 2010/12/16.
    PMID: 21163852.
  • Zarin DA, Tse T, Williams RJ, Califf RM, Ide NC. The ClinicalTrials.gov results database--update and key issues. N Engl J Med. 2011;364(9):852-60.
    PMID: 21366476.
  • Zucker DM. An analysis of variance pitfall: The fixed effects analysis in a nested design. Educational and Psychological Measurement. 1990;50(4):731-738.
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