activity
20162023
most citedSample size calculation and blinded recalculation for analysis of covariance models with multiple random covariates

6 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2023

A basket trial design based on power priors

Lukas Baumann, Lukas Sauer, Meinhard Kieser

In basket trials a treatment is investigated in several subgroups. They are primarily used in oncology in early clinical phases as single-arm trials with a binary endpoint. For the…

stat.ME2022

Analysis and sample size calculation within the responder stratified exponential survival model

Samuel Kilian, Johannes Krisam, Meinhard Kieser

The primary endpoint in oncology is usually overall survival, where differences between therapies may only be observable after many years. To avoid withholding of a promising thera…

stat.ME2020★ 3 cited

Enhancing single-arm phase II trials by inclusion of matched control patients

Johannes Krisam, Dorothea Weber, Richard F. Schlenk +1

When a novel treatment has successfully passed phase I, different options to design subsequent phase II trials are available. One approach is a single-arm trial, comparing the resp…

stat.ME2018★ 6 cited

Sample size calculation and blinded recalculation for analysis of covariance models with multiple random covariates

Georg Zimmermann, Meinhard Kieser, Arne Bathke

When testing for superiority in a parallel-group setting with a continuous outcome, adjusting for covariates (e.g., baseline measurements) is usually recommended, in order to reduc…

stat.AP2016★ 3 cited

Optimal adaptive two-stage designs for single-arm trial with binary endpoint

Kevin Kunzmann, Meinhard Kieser

Minimizing the number of patients exposed to potentially harmful drugs in early onco logical trials is a major concern during planning. Adaptive designs account for the inherent un…