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