Abstract
Whereas generic drugs offer a cost-effective alternative to brand name drugs, regulators need a method to assess therapeutic equivalence in a post-market setting. We develop such a method in the context of assessing the therapeutic equivalence of immediate release venlafaxine, based on a large insurance claims data set provided by OptumLabs\circledR. To address this question properly, our methodology must deal with issues of non-adherence, secular trends in health outcomes and lack of treatment overlap due to sharp uptake of the generic drug once it becomes available. We define, identify (under assumptions) and estimate (using G-computation) a causal effect for a time-to-event outcome by extending regression discontinuity to survival curves. We do not find evidence for a lack of therapeutic equivalence of brand and generic immediate release venlafaxine.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1461-1478 |
| Number of pages | 18 |
| Journal | Journal of the Royal Statistical Society. Series A: Statistics in Society |
| Volume | 183 |
| Issue number | 4 |
| DOIs | |
| State | Published - Oct 1 2020 |
Keywords
- G-computation
- Generic drugs
- Regression discontinuity
- Temporal confounding
- Therapeutic equivalence
- Time-varying confounding
- Venlafaxine
ASJC Scopus subject areas
- Statistics and Probability
- Social Sciences (miscellaneous)
- Economics and Econometrics
- Statistics, Probability and Uncertainty
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