Using linear increment models for the imputation of missing composite outcomes in randomized trials

被引：0
|
作者：
Aidan G O’Keeffe
Daniel M Farewell
Brian DM Tom
Vernon T Farewell
机构：
[1] MRC Biostatistics Unit,School of Medicine
[2] IPH Forvie Site,undefined
[3] Cardiff University,undefined
[4] Neuadd Meirionnydd,undefined
来源：
Trials | / 12卷 / Suppl 1期
关键词：
Rheumatoid Arthritis; Rheumatoid Arthritis Patient; Multiple Imputation; Maximum Likelihood Method; Early Rheumatoid Arthritis;
D O I：
10.1186/1745-6215-12-S1-A60
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Imputation strategies for missing binary outcomes in cluster randomized trials
    Jinhui Ma
    Noori Akhtar-Danesh
    Lisa Dolovich
    Lehana Thabane
    BMC Medical Research Methodology, 11
  • [2] Imputation strategies for missing binary outcomes in cluster randomized trials
    Ma, Jinhui
    Akhtar-Danesh, Noori
    Dolovich, Lisa
    Thabane, Lehana
    BMC MEDICAL RESEARCH METHODOLOGY, 2011, 11
  • [3] Imputation strategies for missing continuous outcomes in cluster randomized trials
    Taljaard, Monica
    Donner, Allan
    Klar, Neil
    BIOMETRICAL JOURNAL, 2008, 50 (03) : 329 - 345
  • [4] A comparison of imputation strategies in cluster randomized trials with missing binary outcomes
    Caille, Agnes
    Leyrat, Clemence
    Giraudeau, Bruno
    STATISTICAL METHODS IN MEDICAL RESEARCH, 2016, 25 (06) : 2650 - 2669
  • [5] Imputation of Missing Covariates in Randomized Controlled Trials with Continuous Outcomes: Simple, Unbiased and Efficient Methods
    Kayembe, Mutamba T.
    Jolani, Shahab
    Tan, Frans E. S.
    van Breukelen, Gerard J. P.
    JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 2022, 32 (05) : 717 - 739
  • [6] Multiple Imputation of Missing Composite Outcomes in Longitudinal Data
    O’Keeffe A.G.
    Farewell D.M.
    Tom B.D.M.
    Farewell V.T.
    Statistics in Biosciences, 2016, 8 (2) : 310 - 332
  • [7] Simple Bayesian models for missing binary outcomes in randomized controlled trials
    Kaplan, Adam
    Nelson, David
    STATISTICS IN MEDICINE, 2023, 42 (24) : 4377 - 4391
  • [8] Using link-preserving imputation for logistic partially linear models with missing covariates
    Chen, Qixuan
    Paik, Myunghee Cho
    Kim, Minjin
    Wang, Cuiling
    COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2016, 101 : 174 - 185
  • [9] Imputation and variable selection in linear regression models with missing covariates
    Yang, XW
    Belin, TR
    Boscardin, WJ
    BIOMETRICS, 2005, 61 (02) : 498 - 506
  • [10] Composite Imputation Method for the Multiple Linear Regression with Missing at Random Data
    Thongsri, Thidarat
    Samart, Klairung
    INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER SCIENCE, 2022, 17 (01): : 51 - 62
12345