6 papers
Calibrated Estimation and Inference for Semiparametric Regression Models
Yuming Zhang, Yanyuan Ma, Xuming He +2
We consider a broad class of semiparametric regression models in which the conditional distribution of the response takes the form , k…
Equivalence Testing Under Privacy Constraints
Savita Pareek, Luca Insolia, Roberto Molinari +1
Protecting individual privacy is essential across research domains, from socio-economic surveys to big-tech user data. This need is particularly acute in healthcare, where analyses…
Bridging the gap between experimental burden and statistical power for quantiles equivalence testing
Jun Wu, Stéphane Guerrier, Si Gou +2
Testing the equivalence of multiple quantiles between two populations is important in many scientific applications, such as clinical trials, where conventional mean-based methods m…
Bioequivalence Assessment for Locally Acting Drugs: A Framework for Feasible and Efficient Evaluation
Luca Insolia, Yanyuan Ma, Younes Boulaguiem +1
Equivalence testing plays a key role in several domains, such as the development of generic medical products, which are therapeutically equivalent to brand-name drugs but with redu…
Global p-Values in Multi-Design Studies
Guillaume Coqueret, Yuming Zhang, Christophe Pérignon +2
Replicability issues -- referring to the difficulty or failure of independent researchers to corroborate the results of published studies -- have hindered the meaningful progressio…
Multivariate Adjustments for Average Equivalence Testing
Younes Boulaguiem, Luca Insolia, Maria-Pia Victoria-Feser +2
Multivariate (average) equivalence testing is widely used to assess whether the means of two conditions of interest are `equivalent' for different outcomes simultaneously. The mult…