Evaluation of multiple imputation approaches for handling missing covariate information in a case-cohort study with a binary outcome

被引：0
作者：
Melissa Middleton
Cattram Nguyen
Margarita Moreno-Betancur
John B. Carlin
Katherine J. Lee
机构：
[1] Murdoch Children’s Research Institute,Clinical Epidemiology & Biostatistics Unit
[2] Royal Children’s Hospital,Department of Paediatrics
[3] The University of Melbourne,undefined
来源：
BMC Medical Research Methodology | / 22卷
关键词：
Multiple imputation; Case-cohort study; Simulation study; Missing data; Unequal sampling probability; Inverse probability weighting;
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 53 条
[1]  
Prentice RL(1986)A case-cohort design for epidemiologic cohort studies and disease prevention trials Biometrika. 73 1-11
[2]  
Vuillermin P(2015)Cohort profile: the Barwon infant study Int J Epidemiol 44 1148-1160
[3]  
Saffery R(1976)Inference and missing data Biometrika. 63 581-592
[4]  
Allen KJ(2007)Multiple imputation of discrete and continuous data by fully conditional specification Stat Methods Med Res 16 219-242
[5]  
Carlin JB(2015)Multiple imputation of covariates by fully conditional specification: accommodating the substantive model Stat Methods Med Res 24 462-487
[6]  
Tang ML(1994)Multiple-imputation inferences with uncongenial sources of input Stat Sci 9 538-558
[7]  
Ranganathan S(2014)Introduction to multiple imputation for dealing with missing data Respirology. 19 162-167
[8]  
Rubin D(2006)On the Bias of the multiple-imputation variance estimator in survey sampling J Royal Statistical Society Series B (Statistical Methodology) 68 509-521
[9]  
van Buuren S(2011)Multiple imputation analysis of case-cohort studies Stat Med 30 1595-1607
[10]  
Bartlett J(2009)Using the whole cohort in the anlaysis of case-cohort data Am J Epidemiol 169 1398-1405
123456