Cited by 538Statistical Methods and Bayesian InferenceStatistical Methods in EpidemiologyAdvanced Causal Inference Techniques

Missing covariate data in clinical research: when and when not to use the missing-indicator method for analysis

Open access
Groenwold, Rolf H.H., White, Ian R., Donders, A. Rogier T., Carpenter, James R., Altman, Douglas G., Moons, Karel G.M.·2012·Canadian Medical Association Journal

Abstract

Missing data are a frequently encountered problem in epidemiologic and clinical research.[1][1],[2][2] One approach is to include in the analysis only those participants without missing observations (complete or available case analysis).[1][1]–[4][3] However, in addition to reducing statistical

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  1. Miettinen OS. Theoretical epidemiology: principles of occur- rence research. New York (NY): John Wiley & Sons; 1985.

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Authors
Groenwold, R. H. H., White, I. R., Donders, A. R. T., Carpenter, J. R., Altman, D. G., & Moons, K. G. M.
Affiliations
University Medical Center Utrecht (NL)
Venue
Canadian Medical Association Journal
Published
2012-02-27
Volume
184
Issue
11
Pages
1265-1269
ISSN
  • 0820-3946 (ISSN-L)
  • 1488-2329
OpenAlex
W2122717603
Cited by
538
References
21
Citations by year
2026: 69 · 2025: 91 · 2024: 90 · 2023: 59 · 2022: 65 · 2021: 48 · 2020: 40 · 2019: 23 · 2018: 17 · 2017: 14 · 2016: 9 · 2015: 4 · 2014: 3 · 2013: 5
FWCI
3.66
Type
journal article
Language
en
Open access
Locations
  • Canadian Medical Association Journal (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Radboud Repository (Radboud University) (submittedVersion)
Funders
  • Cancer Research UK (C5529)
  • Nederlandse Organisatie voor Wetenschappelijk Onderzoek (917-46-360)
  • Economic and Social Research Council (ES/G026300/1)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
Keywords
missing data, complete case analysis, multiple imputation, missing data mechanisms, clinical research
MeSH terms
Humans, Research Design, Statistics as Topic, Bias, Biomedical Research

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