Journal
AMERICAN STATISTICIAN
Volume 76, Issue 2, Pages 117-123Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/00031305.2021.1972835
Keywords
Multivariate matching; Observational study; Power and sample size
Categories
Ask authors/readers for more resources
In observational studies, the matched case-control approach is commonly used to compare treatment effects by matching cases with controls. This approach can be more powerful for testing treatment effects when outcomes are rare. Additionally, it can provide better match quality in studies investigating the effects of certain treatments on specific conditions.
In an observational study, to investigate the treatment effect, one common strategy is to match the control subjects to the treated subjects. The outcomes between the two groups are then compared after the TC (treatment-control) match. However, when the outcome is rare, detection of an outcome difference can be challenging. An alternative approach is to compare the treatment or exposure discrepancy after matching subjects with the outcome (cases) to subjects without the outcome (referents). Throughout the article, we follow the tradition to call this the matched case-control approach instead of the matched case-referent approach. We reserve control to mean not taking the treatment, and the abbreviation TC and CC (case-control) when possible confusion may arise. We derive conditions when the matched CC approach has more power for testing the treatment effect and examine its empirical performance in simulations and in our data example. We also show that the CC approach gives better match quality in our study of the effect of long vs. short stay in the hospital after joint surgery.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available