3 papers
stat.ME2026
A proxy-based approach for unmeasured confounding in electronic health records research
Haley Colgate Kottler, Amy Cochran
Electronic health records (EHR) are widely used to study clinical decisions, yet unmeasured confounding remains a persistent challenge. Proxy variables offer a potential solution.…
stat.ME2026
Robust Power and Sample Size Calculations in Quasi-likelihood Models: Methods and Practice
Shijie Yuan, Amy Cochran, Paul Rathouz
Accurate power and sample size (PSS) calculations are essential for designing studies that use quasi-likelihood (QL) models, which extend generalized linear models (GLMs) to settin…
stat.ME2026
General measures of effect size to calculate power and sample size for Wald tests with generalized linear models
Amy L Cochran, Shijie Yuan, Paul J Rathouz
Power and sample size calculations for Wald tests in generalized linear models (GLMs) are often limited to specific cases like logistic regression. More general methods typically r…