R package: simIDM

Alexandra Erdmann and Kaspar Rufibach (2023): simIDM: Simulating Clinical Trials with Endpoints Progression-Free Survival and Overall Survival using an Illness-Death Model

github respository for code for follow-up quantification

Kaspar Rufibach, Lynda Grinsted, Jiang Li, Hans-Jochen Weber, Cheng Zheng, Jiangxiu Zhou (2023+): Quantification of follow-up time in oncology clinical trials with a time-to-event endpoint: Asking the right questions

R package: eventTrack

Kaspar Rufibach (2021): eventTrack: Event Prediction for Time-to-Event Endpoints

github repository and markdown file for SAVVY project: Survival analysis for AdVerse events with VarYing follow-up times

Regina Stegherr and Kaspar Rufibach (2020). SAVVY: estimation of AE probabilities.

github repository and markdown file for different analysis methods for principal stratum estimands motivated by the principal ignorability assumption

Björn Bornkamp, Kaspar Rufibach, Jianchang Lin, Yi Liu, Devan Mehrotra, Satrajit Roychoudhury, Heinz Schmidli, Yue Shentu, Marcel Wolbers (2020): Principal Stratum Strategy: Potential Role in Drug Development

github respository for MIRROS clinical trial design

Kaspar Rufibach, Dominik Heinzmann, Annabelle Monnet (2019): Integrating Phase 2 into Phase 3 based on an Intermediate Endpoint While Accounting for a Cure Proportion - with an Application to the Design of a Clinical Trial in Acute Myeloid Leukemia

R code to plan 3-arm group-sequential trial with FWER control for pairwise comparisons via closed testing

Elina Asikanius, Kaspar Rufibach, Jasmin Bahlo, Gabriele Bieska, Hans Ulrich Burger (2016). Comparison of design strategies for a three-arm clinical trial with time-to-event endpoint: power, time-to-analysis, and operational aspects. Biom. J., 58(6), 1295-1310.