3 papers
stat.ME2025
Estimating the average treatment effect in cluster-randomized trials with misclassified outcomes and non-random validation subsets
Dane Isenberg, Nandita Mitra, Steven C. Marcus +2
Randomized trials are viewed as the benchmark for assessing causal effects of treatments on outcomes of interest. Nonetheless, challenges such as measurement error can undermine th…
stat.ME2025
A Bayesian approach to the survivor average causal effect in cluster-randomized crossover trials
Dane Isenberg, Michael O. Harhay, Andrew B. Forbes +3
In cluster-randomized crossover (CRXO) trials, groups of individuals are randomly assigned to two or more sequences of alternating treatments. Since clusters serve as their own con…
stat.ME2025
Integrating Misclassified EHR Outcomes with Validated Outcomes from a Non-probability Sample
Jenny Shen, Dane Isenberg, Kristin A. Linn +1
Although increasingly used for research, electronic health records (EHR) often lack gold-standard assessment of key data elements. Linking EHRs to other data sources with higher-qu…