Outcome-sensitive multiple imputation: a simulation study

被引:0
|
作者
Evangelos Kontopantelis
Ian R. White
Matthew Sperrin
Iain Buchan
机构
[1] University of Manchester,The Farr Institute for Health Informatics Research
[2] University of Manchester,NIHR School for Primary Care Research, Centre for Primary Care, Institute of Population Health
[3] MRC Biostatistics Unit,undefined
[4] Cambridge Institute of Public Health,undefined
关键词
Multiple imputation; Imputed outcome; Missing data; Missingness;
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
  • [1] Outcome-sensitive multiple imputation: a simulation study
    Kontopantelis, Evangelos
    White, Ian R.
    Sperrin, Matthew
    Buchan, Iain
    [J]. BMC MEDICAL RESEARCH METHODOLOGY, 2017, 17
  • [2] Distinguishing intention-sensitive from outcome-sensitive imitation
    Heyes, CM
    Ray, ED
    [J]. DEVELOPMENTAL SCIENCE, 2002, 5 (01) : 34 - 36
  • [3] Behavioural evidence for parallel outcome-sensitive and outcome-insensitive Pavlovian learning systems in humans
    Eva R. Pool
    Wolfgang M. Pauli
    Carolina S. Kress
    John P. O’Doherty
    [J]. Nature Human Behaviour, 2019, 3 : 284 - 296
  • [4] Recovery of information from multiple imputation: a simulation study
    Katherine J Lee
    John B Carlin
    [J]. Emerging Themes in Epidemiology, 9 (1):
  • [5] Recovery of information from multiple imputation: a simulation study
    Lee, Katherine J.
    Carlin, John B.
    [J]. EMERGING THEMES IN EPIDEMIOLOGY, 2012, 9
  • [6] Behavioural evidence for parallel outcome-sensitive and outcome-insensitive Pavlovian learning systems in humans
    Pool, Eva R.
    Pauli, Wolfgang M.
    Kress, Carolina S.
    O'Doherty, John P.
    [J]. NATURE HUMAN BEHAVIOUR, 2019, 3 (03) : 284 - 296
  • [7] Multiple imputation in veterinary epidemiological studies: a case study and simulation
    Dohoo, Ian R.
    Nielsen, Christel R.
    Emanuelson, Ulf
    [J]. PREVENTIVE VETERINARY MEDICINE, 2016, 129 : 35 - 47
  • [8] Multiple imputation using linked proxy outcome data resulted in important bias reduction and efficiency gains: A simulation study
    Cornish R.P.
    Macleod J.
    Carpenter J.R.
    Tilling K.
    [J]. Emerging Themes in Epidemiology, 14 (1):
  • [9] Multiple imputation with missing indicators as proxies for unmeasured variables: simulation study
    Matthew Sperrin
    Glen P. Martin
    [J]. BMC Medical Research Methodology, 20
  • [10] Multiple imputation with missing indicators as proxies for unmeasured variables: simulation study
    Sperrin, Matthew
    Martin, Glen P.
    [J]. BMC MEDICAL RESEARCH METHODOLOGY, 2020, 20 (01)