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Matched or unmatched analyses with propensity-score–matched data?
Fei Wan
Division of Public Health Sciences
Institute of Clinical and Translational Sciences
Siteman Cancer Center
Research output
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Contribution to journal
›
Article
›
peer-review
17
Scopus citations
Overview
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Dive into the research topics of 'Matched or unmatched analyses with propensity-score–matched data?'. Together they form a unique fingerprint.
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Mathematics
Matched pairs
100%
Multiple Linear Regression
95%
Statistical Power
62%
Intraclass Correlation
35%
Propensity Score
34%
Simple Linear Regression
33%
Observational Study
32%
Mixed Effects Model
32%
Dissimilarity
31%
Error Rate
28%
Coefficient
12%
Model
8%
Medicine & Life Sciences
Linear Models
59%
Matched-Pair Analysis
49%
Propensity Score
20%
Observational Studies
14%