Matching to Remove Bias in Observational Studies.
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)
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 14, 1970
- Accession Number
- AD0716441
Entities
People
- Donald B. Rubin
Organizations
- Harvard University