Loading...
Please wait, while we are loading the content...
From Sample Average Treatment Effect to Population Average Treatment Effect on the Treated: Combining Experimental with Observational Studies to Estimate Population Treatment Effects
| Content Provider | Oxford Academic |
|---|---|
| Author | Hartman, Erin Grieve, Richard Ramsahai, Roland Sekhon, Jasjeet S. |
| Copyright Year | 2015 |
| Abstract | Randomized controlled trials (RCTs) can provide unbiased estimates of sample average treatment effects. However, a common concern is that RCTs may fail to provide unbiased estimates of population average treatment effects. We derive the assumptions that are required to identify population average treatment effects from RCTs. We provide placebo tests, which formally follow from the identifying assumptions and can assess whether they hold. We offer new research designs for estimating population effects that use non-randomized studies to adjust the RCT data. This approach is considered in a cost-effectiveness analysis of a clinical intervention: pulmonary artery catheterization. |
| Related Links | https://academic.oup.com/jrsssa/article-pdf/178/3/757/49341171/jrsssa_178_3_757.pdf |
| Ending Page | 778 |
| Starting Page | 757 |
| File Format | |
| ISSN | 09641998 |
| e-ISSN | 1467985X |
| DOI | 10.1111/rssa.12094 |
| Journal | Journal of the Royal Statistical Society Series A: Statistics in Society |
| Issue Number | 3 |
| Volume Number | 178 |
| Language | English |
| Publisher | Oxford Academic |
| Publisher Date | 2015-06-01 |
| Access Restriction | Open |
| Subject Keyword | Mathematics Probability and Statistics Science and Mathematics Causal Inference Cost-effectiveness Studies External Validity Observational Studies Placebo Tests Randomized Controlled Trials |
| Content Type | Text |
| Resource Type | Article |
| Subject | Statistics and Probability Social Sciences Economics and Econometrics Statistics, Probability and Uncertainty |
