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Journal Abstract Search

230 related items for PubMed ID: 32033617

  • 1. The mixed model for repeated measures for cluster randomized trials: a simulation study investigating bias and type I error with missing continuous data.
    Bell ML, Rabe BA.
    Trials; 2020 Feb 07; 21(1):148. PubMed ID: 32033617
    [Abstract] [Full Text] [Related]

  • 2. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K, Williams J, Qi YP, Gutman J, Yeung L, Mai C, Finkelstain J, Mehta S, Pons-Duran C, Menéndez C, Moraleda C, Rogers L, Daniels K, Green P.
    Cochrane Database Syst Rev; 2022 Feb 01; 2(2022):. PubMed ID: 36321557
    [Abstract] [Full Text] [Related]

  • 3. Single time point comparisons in longitudinal randomized controlled trials: power and bias in the presence of missing data.
    Ashbeck EL, Bell ML.
    BMC Med Res Methodol; 2016 Apr 12; 16():43. PubMed ID: 27068578
    [Abstract] [Full Text] [Related]

  • 4. Comparison of population-averaged and cluster-specific models for the analysis of cluster randomized trials with missing binary outcomes: a simulation study.
    Ma J, Raina P, Beyene J, Thabane L.
    BMC Med Res Methodol; 2013 Jan 23; 13():9. PubMed ID: 23343209
    [Abstract] [Full Text] [Related]

  • 5. Intent-to-treat analysis of cluster randomized trials when clusters report unidentifiable outcome proportions.
    DeSantis SM, Li R, Zhang Y, Wang X, Vernon SW, Tilley BC, Koch G.
    Clin Trials; 2020 Dec 23; 17(6):627-636. PubMed ID: 32838555
    [Abstract] [Full Text] [Related]

  • 6. Imputation strategies for missing binary outcomes in cluster randomized trials.
    Ma J, Akhtar-Danesh N, Dolovich L, Thabane L, CHAT investigators.
    BMC Med Res Methodol; 2011 Feb 16; 11():18. PubMed ID: 21324148
    [Abstract] [Full Text] [Related]

  • 7. Appropriate statistical methods for analysing partially nested randomised controlled trials with continuous outcomes: a simulation study.
    Candlish J, Teare MD, Dimairo M, Flight L, Mandefield L, Walters SJ.
    BMC Med Res Methodol; 2018 Oct 11; 18(1):105. PubMed ID: 30314463
    [Abstract] [Full Text] [Related]

  • 8. Effect of heteroscedasticity between treatment groups on mixed-effects models for repeated measures.
    Gosho M, Maruo K.
    Pharm Stat; 2018 Sep 11; 17(5):578-592. PubMed ID: 29978944
    [Abstract] [Full Text] [Related]

  • 9. Covariate-constrained randomization in cluster randomized 2 × 2 factorial trials: application to a diabetes prevention study.
    Siddique J, Li Z, O'Brien MJ.
    Trials; 2024 Sep 06; 25(1):593. PubMed ID: 39243103
    [Abstract] [Full Text] [Related]

  • 10. Accounting for expected attrition in the planning of cluster randomized trials for assessing treatment effect heterogeneity.
    Tong J, Li F, Harhay MO, Tong G.
    BMC Med Res Methodol; 2023 Apr 06; 23(1):85. PubMed ID: 37024809
    [Abstract] [Full Text] [Related]

  • 11. Missing continuous outcomes under covariate dependent missingness in cluster randomised trials.
    Hossain A, Diaz-Ordaz K, Bartlett JW.
    Stat Methods Med Res; 2017 Jun 06; 26(3):1543-1562. PubMed ID: 27177885
    [Abstract] [Full Text] [Related]

  • 12. A note on the bias of standard errors when orthogonality of mean and variance parameters is not satisfied in the mixed model for repeated measures analysis.
    Maruo K, Ishii R, Yamaguchi Y, Doi M, Gosho M.
    Stat Med; 2020 Apr 30; 39(9):1264-1274. PubMed ID: 31916260
    [Abstract] [Full Text] [Related]

  • 13. MMRM vs. LOCF: a comprehensive comparison based on simulation study and 25 NDA datasets.
    Siddiqui O, Hung HM, O'Neill R.
    J Biopharm Stat; 2009 Apr 30; 19(2):227-46. PubMed ID: 19212876
    [Abstract] [Full Text] [Related]

  • 14. Properties and pitfalls of weighting as an alternative to multilevel multiple imputation in cluster randomized trials with missing binary outcomes under covariate-dependent missingness.
    Turner EL, Yao L, Li F, Prague M.
    Stat Methods Med Res; 2020 May 30; 29(5):1338-1353. PubMed ID: 31293199
    [Abstract] [Full Text] [Related]

  • 15. Evaluation of overall treatment effect in MMRM.
    Song T, Dong Q, Sankoh AJ, Molenberghs G.
    J Biopharm Stat; 2013 May 30; 23(6):1281-93. PubMed ID: 24138432
    [Abstract] [Full Text] [Related]

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  • 17. Bias and inference from misspecified mixed-effect models in stepped wedge trial analysis.
    Thompson JA, Fielding KL, Davey C, Aiken AM, Hargreaves JR, Hayes RJ.
    Stat Med; 2017 Oct 15; 36(23):3670-3682. PubMed ID: 28556355
    [Abstract] [Full Text] [Related]

  • 18. Minimum number of clusters and comparison of analysis methods for cross sectional stepped wedge cluster randomised trials with binary outcomes: A simulation study.
    Barker D, D'Este C, Campbell MJ, McElduff P.
    Trials; 2017 Mar 09; 18(1):119. PubMed ID: 28279222
    [Abstract] [Full Text] [Related]

  • 19. Generalized estimating equations in cluster randomized trials with a small number of clusters: Review of practice and simulation study.
    Huang S, Fiero MH, Bell ML.
    Clin Trials; 2016 Aug 09; 13(4):445-9. PubMed ID: 27094487
    [Abstract] [Full Text] [Related]

  • 20. Power difference in a χ2 test vs generalized linear mixed model in the presence of missing data - a simulation study.
    Miller ML, Roe DJ, Hu C, Bell ML.
    BMC Med Res Methodol; 2020 Mar 02; 20(1):50. PubMed ID: 32122312
    [Abstract] [Full Text] [Related]

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