collaborators

5 papers

stat.ME2026

Simulation-Free Bayesian Power and Sample Size Calculations for Bayes Factors in Single-Arm Phase II Trials with Binary Endpoints

Riko Kelter, Kathrin Möllenhoff

Bayes factors provide a coherent Bayesian measure of evidence for competing hypotheses and have recently been used as the basis for single-arm phase II trial designs with binary en…

stat.ME2026

Optimal sequential two-stage Bayes Factor Design for two-arm clinical Phase II Trials with binary Endpoints

Riko Kelter

Two-arm phase II clinical trials often benefit from an interim analysis that allows early stopping for futility, but Bayesian calibration of such designs is usually based on comput…

stat.ME2026

Power and Sample Size Calculations for Bayes Factors in two-arm clinical Phase II Trials with binary Endpoints

Riko Kelter

Bayesian sample size calculations in clinical trials usually rely on complex Monte Carlo simulations in practice. Obtaining bounds on Bayesian notions of the false-positive rate an…

stat.ME2025

The Bayesian optimal two-stage design for clinical phase II trials based on Bayes factors

Riko Kelter, Samuel Pawel

Sequential trial design is an important statistical approach to increase the efficiency of clinical trials. Bayesian sequential trial design relies primarily on conducting a Monte…

stat.ME2025

Bayesian Power and Sample Size Calculations for Bayes Factors in the Binomial Setting

Riko Kelter, Samuel Pawel

Bayesian design of experiments and sample size calculations usually rely on complex Monte Carlo simulations in practice. Obtaining bounds on Bayesian notions of the false-positive…