| Literature DB >> 29622292 |
Sindhu R Johnson1, George A Tomlinson2, Gillian A Hawker3, John T Granton4, Brian M Feldman5.
Abstract
A challenge to the use of observational data to study treatment effects is the issue of confounding. Noncomparability of exposed and nonexposed subjects can lead to biased estimation of the treatment effect. The propensity score is a balancing score that can be used to form matched groups, or pairs, that are not systematically different and enable nonbiased comparisons between groups. This article reviews propensity score methods with an illustrative example of the application of propensity score matching in an observational study of an uncommon disease (systemic sclerosis).Entities:
Keywords: Bias; Observational data; Propensity score; Scleroderma; Systemic sclerosis
Mesh:
Year: 2018 PMID: 29622292 DOI: 10.1016/j.rdc.2018.01.002
Source DB: PubMed Journal: Rheum Dis Clin North Am ISSN: 0889-857X Impact factor: 2.670