Accession Number : AD0716441
Title : Matching to Remove Bias in Observational Studies.
Descriptive Note : Technical rept.,
Corporate Author : HARVARD UNIV CAMBRIDGE MASS DEPT OF STATISTICS
Personal Author(s) : Rubin,Donald B.
Report Date : 14 DEC 1970
Pagination or Media Count : 48
Abstract : Several matching methods that match all of one sample from another larger sample on a continuous matching variable are compared with respect to their ability to remove bias under a simple linear model. One method is a simple mean-matching method and three are nearest available pair-matching methods. The methods' abilities to remove bias are also compared with the theoretical maximum given fixed distributions and fixed sample sizes. A summary of advice to an investigator is included. (Author)
Descriptors : (*SAMPLING, CORRELATION TECHNIQUES), EXPERIMENTAL DESIGN, COMBINATORIAL ANALYSIS, CONFIDENCE LIMITS, STATISTICAL DISTRIBUTIONS, SUBROUTINES, THESES
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE