Showing papers by "Donald B. Rubin published in 1988"
4,003 citations
TL;DR: In this article, a model for causal inference in prospective studies is reviewed and then applied to retrospective case-control studies, and the limitations of case control studies are formulated in terms of the level of causally relevant parameters that can be estimated in such studies.
Abstract: The problem of drawing causal inferences from retrospective case-control studies is considered. A model for causal inference in prospective studies is reviewed and then applied to retrospective studies. The limitations of case-control studies are formulated in terms of the level of causally relevant parameters that can be estimated in such studies. An example using data from a large retrospective study of coffee-drinking and myocardial infarctions is used to illustrate the ideas of the article.
109 citations
87 citations
01 Jan 1988
TL;DR: The resultant multiply-imputed data base consists of the original data set with missing values replaced by pointers to the rows of a supplemental matrix of multiple imputations, each row being the vector of several imputations for a missing value.
Abstract: Multiple imputation is a technique for handling missing values in shared databases. The technique replaces each missing value by a vector of possible values that reflect uncertainty about which value to impute. The resultant multiply-imputed data base consists of the original data set with missing values replaced by pointers to the rows of a supplemental matrix of multiple imputations, each row being the vector of multiple imputations for a missing value. This data base can be analyzed by standard complete-data analysis techniques to obtain valid inferences.
4 citations