On Propensity Score Methodology

Paul Dewick, Shuangzhe Liu

Research output: A Conference proceeding or a Chapter in BookChapterpeer-review

Abstract

In an observational study, researchers are constantly required to distinguish the effects caused by the assignment of treatment. Propensity score methodology is one way to determine the effects of, and their probabilities, given a vector of observed covariates, which is particularly popular in the fields of medical, pharmaceutical and social sciences. However, there are mixed views for the best methodologies to use and an overall understanding of the propensity score methodology. Also, there is minimal literature for propensity score methods being used within the broader scientific community. Propensity score methodology can be suited to determine effects caused by, not only treatment of pharmaceutical medication, but for “treatment” of some external event, proposed event or interaction within the wider community. For example, the effect on a regional community due to business closure, or a road by-pass would be a reasonable case of how propensity score methods can be further used within the wider scientific community.
Original languageEnglish
Title of host publicationStatistics for Data Science and Policy Analysis
EditorsAzizur Rahman
Place of PublicationSingapore
PublisherSpringer
Chapter4
Pages41-53
Number of pages12
ISBN (Electronic)9789811517358
ISBN (Print)9789811517341
DOIs
Publication statusPublished - 1 Apr 2020

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