Journal
Cancer Medicine
Authors
Deirdre Weymann, Samantha Pollard, Brandon Chan, Emma Titmuss, Alexandra Bohm, Janessa Laskin, Steven J M Jones, Erin Pleasance, Jessica Nelson, Alexandra Fok, Howard Lim, Aly Karsan, Daniel J Renouf, Kasmintan A Schrader, Sophie Sun, Stephen Yip, David F Schaeffer, Marco A Marra, Dean A Regier

Single-arm trials are common in precision oncology. Owing to the lack of randomized counterfactual, resultant data are not amenable to comparative outcomes analyses. Difference-in-difference (DID) methods present an opportunity to generate causal estimates of time-varying treatment outcomes. Using DID, our study estimates within-cohort effects of genomics-informed treatment versus standard care on clinical and cost outcomes.

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