Multiple imputation of missing covariates with non-linear effects and interactions: an evaluation of statistical methods
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health Informatics,Epidemiology
Link
http://link.springer.com/article/10.1186/1471-2288-12-46/fulltext.html
Reference22 articles.
1. Little RJA, Rubin DB: Statistical Analysis With Missing Data. 2002, New Jersey: Wiley
2. Royston J, Sauerbrei W: Multivariate Model-Building. 2008, Chichester: Wiley
3. Von Hippel PT: How to impute interactions, squares and other transformed variables. Sociol Methodol. 2009, 39: 265-291. 10.1111/j.1467-9531.2009.01215.x.
4. Schenker N, Taylor JMG: Partially parametric techniques for multiple imputation. Computational Statistics and Data Analysis. 1996, 22: 425-446. 10.1016/0167-9473(95)00057-7.
5. White IR, Royston P, Wood AM: Multiple imputation for chained equations: issues and guidance for practice. Stat Med. 2011, 30: 377-399. 10.1002/sim.4067.
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