Displaying 1 - 28 of 28 Results
  • 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.
  • Baldwin SA, Bauer DJ, Stice E, Rohde P. Evaluating models for partially clustered designs. Psychological Methods. 2011;16(2);149-65.
    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.
    PMID: 16287392.
  • Bauer DJ, Sterba SK, Hallfors DD. Evaluating group-based interventions when control participants are ungrouped. Multivariate Behav Res. 2008;43(2);210-236.
    PMID: 20396621.
  • 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.
    PMID: 18283207.
  • 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.
    PMID: 19472169.
  • 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.
    PMID: 17151163.
  • Cook JA, Bruckner T, MacLennan GS, Seiler CM. Clustering in surgical trials--database of intracluster correlations. Trials. 2012;13;2.
    PMID: 22217216.
  • Hedges LV, Citkowicz M. Estimating effect size when there is clustering in one treatment group. Behav Res Methods. 2015;47(4);1295-1308.
    PMID: 25425393.
  • 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.
    PMID: 23459110.
  • Hoover DR. Clinical trials of behavioral interventions with heterogeneous teaching subgroup effects. Statistics in Medicine. 2002;21(10);1351-1364.
    PMID: 12185889.
  • 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.
  • Kahan BC, Morris TP. Assessing potential sources of clustering in individually randomised trials. BMC Med Res Methodol. 2013;13;58.
    PMID: 23590245.
  • 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.
  • Lee KJ, Thompson SG. Clustering by health professional in individually randomised trials. BMJ. 2005a;330(7483);142-4.
    PMID: 15649931.
  • 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.
  • Moerbeek M, Teerenstra S. Power analysis of trials with multilevel data. 2016. Boca Raton: CRC Press.
  • 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.
    PMID: 17960589.
  • Oltean H, Gagnier JJ. Use of clustering analysis in randomized controlled trials in orthopaedic surgery. BMC Med Res Methodol. 2015;15;17.
    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. 2008a;98(8);1418-1424. Epub 2008/06/12.
    PMID: 18556603.
  • 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: Erratum. American Journal of Public Health. 2008b;98(12);2120.
    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.
    PMID: 21487252.
  • 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.
  • 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.
  • 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. 2017;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. 2017;107(7);1078-1086. Epub 2017/05/18.
    PMID: 28520480.