Multiple imputation versus data enhancement for dealing with missing data in observational health care outcome analyses
- 1 February 2002
- journal article
- research article
- Published by Elsevier in Journal of Clinical Epidemiology
- Vol. 55 (2) , 184-191
- https://doi.org/10.1016/s0895-4356(01)00433-4
Abstract
No abstract availableKeywords
This publication has 7 references indexed in Scilit:
- Dealing with missing data in observational health care outcome analysesJournal of Clinical Epidemiology, 2000
- Coronary Artery Bypass Mortality Rates in OntarioCirculation, 1996
- A Critical Look at Methods for Handling Missing Covariates in Epidemiologic Regression AnalysesAmerican Journal of Epidemiology, 1995
- Improving the outcomes of coronary artery bypass surgery in New York StatePublished by American Medical Association (AMA) ,1994
- Regression With Missing X's: A ReviewJournal of the American Statistical Association, 1992
- Biased Estimation of the Odds Ratio in Case-Control Studies due to the Use of Ad Hoc Methods of Correcting for Missing Values for Confounding VariablesAmerican Journal of Epidemiology, 1991
- Sampling-Based Approaches to Calculating Marginal DensitiesJournal of the American Statistical Association, 1990