The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Missing covariate data in clinical research: when and when not to use the missing-indicator method for analysis
Open accessAbstract
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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“Missing data will be imputed with multiple imputation techniques [58, 59].”
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Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
Multiple Imputation for Nonresponse in Surveys
Rubin, D. B. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316696 · Cited by 20,701
mice: Multivariate Imputation by Chained Equations in R
Buuren, S. V., & Groothuis-Oudshoorn, K. (2011) · Journal of Statistical Software · doi:10.18637/jss.v045.i03 · Cited by 13,870
Multiple imputation using chained equations: Issues and guidance for practice
White, I. R., Royston, P., & Wood, A. M. (2011) · Statistics in Medicine · doi:10.1002/sim.4067 · Cited by 9,792
Self-citationSterne, J. A. C., White, I. R., Carlin, J. B., Spratt, M., Royston, P., Kenward, M. G., Wood, A. M., & Carpenter, J. R. (2009) · BMJ · doi:10.1136/bmj.b2393 · Cited by 7,299
Self-citationReview: a gentle introduction to imputation of missing values.
Donders, A. R. T., van der Heijden, G. J. M. G., Stijnen, T., & Moons, K. G. M. (2006) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2006.01.014 · Cited by 2,582
Self-citationMultiple Imputation of Missing Values
Royston, P. (2004) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x0400400301 · Cited by 2,340 · cited 2×
“Multiple imputation was implemented using multiple imputation by chained equations in R(15) and Stata.(16) This entire process (creating missing values and addressing missing values with the three approaches of analysis) was repeated 1000 times to reduce random variation.”
MethodUsing the outcome for imputation of missing predictor values was preferred
Moons, K. G. M., Donders, R. A. R. T., Stijnen, T., & Harrell, F. E. (2006) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2006.01.009 · Cited by 999
Self-citationA critical look at methods for handling missing covariates in epidemiologic regression analyses.
Greenland, S., & Finkle, W. D. (1995) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a117592 · Cited by 891
Strategy for intention to treat analysis in randomised trials with missing outcome data
White, I. R., Horton, N. J., Carpenter, J. R., statistics, R. I. M. A. S., & Pocock, S. (2011) · BMJ · doi:10.1136/bmj.d40 · Cited by 869
Self-citationWhite, I. R., & Carlin, J. (2010) · Statistics in Medicine · doi:10.1002/sim.3944 · Cited by 781
Self-citationMissing covariate data in medical research: To impute is better than to ignore
Janssen, K. J. M., Donders, A. R. T., Harrell, F. E., Vergouwe, Y., Chen, Q., Grobbee, D. E., & Moons, K. G. M. (2010) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2009.12.008 · Cited by 593
Self-citationAdjusting for partially missing baseline measurements in randomized trials
White, I. R., & Thompson, S. G. (2005) · Statistics in Medicine · doi:10.1002/sim.1981 · Cited by 378
Self-citationIndicator and Stratification Methods for Missing Explanatory Variables in Multiple Linear Regression
Jones, M. P. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476680 · Cited by 344
Intensive versus standard case management for severe psychotic illness: a randomised trial
Burns, T., Creed, F. H., Fahy, T., Thompson, S. G., & Tyrer, P. J. (1999) · The Lancet · doi:10.1016/s0140-6736(98)12191-8 · Cited by 321
mice: Multivariate Imputation by Chained Equations
van Buuren, S., & Groothuis‐Oudshoorn, C. G. M. (2006) · doi:10.32614/cran.package.mice · Cited by 256
Burton, A., & Altman, D. G. (2004) · British Journal of Cancer · doi:10.1038/sj.bjc.6601907 · Cited by 219
Self-citationAltman, D. G., & Bland, M. (2007) · BMJ · doi:10.1136/bmj.38977.682025.2c · Cited by 196
Self-citationKnol, M. J., Janssen, K. J. M., Donders, A. R. T., Egberts, T. C. G., Heerdink, E. R., Grobbee, D. E., Moons, K. G. M., & Geerlings, M. I. (2010) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2009.08.028 · Cited by 190
Self-citationRuling out deep venous thrombosis in primary care
Moons, K. G. M., Hoes, A. W., & Oudega, R. (2005) · Thrombosis and Haemostasis · doi:10.1160/th04-12-0829 · Cited by 144
Self-citationIndicator and Stratification Methods for Missing Explanatory Variables in Multiple Linear Regression
Jones, M. P. (1996) · Journal of the American Statistical Association · doi:10.2307/2291399 · Cited by 81
Flagged first, then by citations
Research works printed but not linked: 1
- Miettinen OS. Theoretical epidemiology: principles of occur- rence research. New York (NY): John Wiley & Sons; 1985.
Cited by
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Moons, K. G. M., Altman, D. G., Reitsma, J. B., Ioannidis, J. P. A., Macaskill, P., Steyerberg, E. W., Vickers, A. J., Ransohoff, D. F., & Collins, G. S. (2015) · Annals of Internal Medicine · doi:10.7326/m14-0698 · Cited by 5,147
Self-citationMoons, K. G. M., Wolff, R. F., Riley, R. D., Whiting, P. F., Westwood, M., Collins, G. S., Reitsma, J. B., Kleijnen, J., & Mallett, S. (2019) · Annals of Internal Medicine · doi:10.7326/m18-1377 · Cited by 1,669
Self-citationHPV Vaccination and the Risk of Invasive Cervical Cancer
Lei, J., Ploner, A., Elfström, K. M., Wang, J., Roth, A., Fang, F., Sundström, K., Dillner, J., & Sparén, P. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa1917338 · Cited by 1,487
Missing Data in Clinical Research: A Tutorial on Multiple Imputation
Austin, P. C., White, I. R., Lee, D. S., & van Buuren, S. (2021) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2020.11.010 · Cited by 1,006
Self-citationPost-covid syndrome in individuals admitted to hospital with covid-19: retrospective cohort study
Ayoubkhani, D., Khunti, K., Nafilyan, V., Maddox, T., Humberstone, B., Diamond, I. D., & Banerjee, A. (2021) · BMJ · doi:10.1136/bmj.n693 · Cited by 867
Metadata
- 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)
- ORCID
- Venue
- Canadian Medical Association Journal
- Publisher
- CMA Impact Inc.
- Published
- 2012-02-27
- Volume
- 184
- Issue
- 11
- Pages
- 1265-1269
- ISSN
- 0820-3946 (ISSN-L)
- 1488-2329
- PMC
- PMC3414599
- 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
- gold
- doi.org
- 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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