The use of multiple imputation (MI) in cluster randomised trials with suspected missing not at random (MNAR) outcome

被引：0
|
作者：
Rebecca Playle
Elinor Coulman
Dunla Gallagher
Sharon Simpson
机构：
[1] Cardiff University,South East Wales Trials Unit
[2] University of Glasgow,undefined
来源：
Trials | / 16卷
关键词：
Multiple Imputation; Imputation Model; Trial Team; Eating Programme; Cluster Trial;
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
  • [31] 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
  • [32] A tutorial for handling suspected missing not at random data in longitudinal clinical trials
    Peugh, James
    Toland, Michael
    Harrison, Heather
    QUANTITATIVE METHODS FOR PSYCHOLOGY, 2023, 19 (04): : 347 - 367
  • [33] Multiple Imputation Methods for Handling Missing Data in Cost-effectiveness Analyses That Use Data from Hierarchical Studies: An Application to Cluster Randomized Trials
    Gomes, Manuel
    Diaz-Ordaz, Karla
    Grieve, Richard
    Kenward, Michael G.
    MEDICAL DECISION MAKING, 2013, 33 (08) : 1051 - 1063
  • [34] Imputation methods for missing outcome data in meta-analysis of clinical trials
    Higgins, Julian P. T.
    White, Ian R.
    Wood, Angela M.
    CLINICAL TRIALS, 2008, 5 (03) : 225 - 239
  • [35] Analysis of cluster randomised trials with an assessment of outcome at baseline
    Hooper, Richard
    Forbes, Andrew
    Hemming, Karla
    Takeda, Andrea
    Beresford, Lee
    BMJ-BRITISH MEDICAL JOURNAL, 2018, 360
  • [36] Multiple imputation of missing data under missing at random: compatible imputation models are not sufficient to avoid bias if they are mis-specified
    Curnow, Elinor
    Capenter, James R.
    Heron, Jon E.
    Cornish, Rosie P.
    Rach, Stefan
    Didelez, Vanessa
    Langeheine, Malte
    Tilling, Kate
    JOURNAL OF CLINICAL EPIDEMIOLOGY, 2023, 160 : 100 - 109
  • [37] Guided multiple imputation of missing data - Using a subsample to strengthen the missing-at-random assumption
    Fraser, Gary
    Ru Yan
    EPIDEMIOLOGY, 2007, 18 (02) : 246 - 252
  • [38] Proper Use of Multiple Imputation and Dealing with Missing Covariate Data
    Saffari, Seyed Ehsan
    Volovici, Victor
    Ong, Marcus Eng Hock
    Goldstein, Benjamin Alan
    Vaughan, Roger
    Dammers, Ruben
    Steyerberg, Ewout W.
    Liu, Nan
    WORLD NEUROSURGERY, 2022, 161 : 284 - 290
  • [39] Should multiple imputation be the method of choice for handling missing data in randomized trials?
    Sullivan, Thomas R.
    White, Ian R.
    Salter, Amy B.
    Ryan, Philip
    Lee, Katherine J.
    STATISTICAL METHODS IN MEDICAL RESEARCH, 2018, 27 (09) : 2610 - 2626
  • [40] Multiple imputation by predictive mean matching in cluster-randomized trials
    Bailey, Brittney E.
    Andridge, Rebecca
    Shoben, Abigail B.
    BMC MEDICAL RESEARCH METHODOLOGY, 2020, 20 (01)
12345