Pragmatic trials: ignoring a mediator and adjusting for confounding

被引：0
|
作者：
Paraskevi Pericleous
机构：
[1] Office for National Statistics,Data Science Campus
来源：
BMC Research Notes | / 12卷
关键词：
Mediator; Confounder; Heterogeneity; Pragmatic; Trials;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [41] Adjusting for confounding by cluster using generalized linear mixed models
    Brumback, Babette A.
    Dailey, Amy B.
    Brumback, Lyndia C.
    Livingston, Melvin D.
    He, Zhulin
    STATISTICS & PROBABILITY LETTERS, 2010, 80 (21-22) : 1650 - 1654
  • [42] DEEP LEARNING SEMIPARAMETRIC REGRESSION FOR ADJUSTING COMPLEX CONFOUNDING STRUCTURES
    Mi, Xinlei
    Tighe, Patrick
    Zou, Fei
    Zou, Baiming
    ANNALS OF APPLIED STATISTICS, 2021, 15 (03): : 1086 - 1100
  • [43] Management of confounding in controlled orthopaedic trials
    Vavken, Patrick
    Culen, Georg
    Dorotka, Ronald
    CLINICAL ORTHOPAEDICS AND RELATED RESEARCH, 2008, 466 (04) : 985 - 989
  • [44] STATISTICAL QUESTION Confounding in clinical trials
    Sedgwick, Philip
    BRITISH MEDICAL JOURNAL, 2012, 345
  • [45] Confounding by indication and past clinical trials
    Porta, M
    EPIDEMIOLOGY, 1997, 8 (02) : 219 - 220
  • [46] Randomised controlled trials: understanding confounding
    Sedgwick, Philip
    BMJ-BRITISH MEDICAL JOURNAL, 2015, 351
  • [47] Understanding controlled trials -: What are pragmatic trials?
    Roland, M
    Torgerson, DJ
    BRITISH MEDICAL JOURNAL, 1998, 316 (7127): : 285 - 285
  • [48] Adjusting for One Issue while Ignoring Others Can Make Things Worse
    Welsh, Alan H.
    Lindenmayer, David B.
    Donnelly, Christine F.
    PLOS ONE, 2015, 10 (03):
  • [49] Explaining pragmatic trials to pragmatic policy-makers
    Maclure, Malcolm
    CANADIAN MEDICAL ASSOCIATION JOURNAL, 2009, 180 (10) : 1001 - 1003
  • [50] Adjusting for a mediator in models with two crossed treatment variables
    Muller, Dominique
    Yzerbyt, Vincent Y.
    Judd, Charles M.
    ORGANIZATIONAL RESEARCH METHODS, 2008, 11 (02) : 224 - 240
12345