The research on and application of artificial intelligence (AI) has triggered a comprehensive
scientific, economic, social and political discussion. Here we argue that statistics, as an …

We rigorously extend the widely used wild bootstrap resampling technique to the
multivariate Nelson–Aalen estimator under Aalen's multiplicative intensity model. Aalen's …

Repeated measures and split plot plans are often the preferred design of choice when
planning experiments in life and social sciences. They are typically analyzed by mean …

We suggest a wild bootstrap resampling technique for nonparametric inference on transition
probabilities in a general time-inhomogeneous Markov multistate model. We first …

We propose inference procedures for general factorial designs with time‐to‐event
endpoints. Similar to additive Aalen models, null hypotheses are formulated in terms of …

This paper introduces new effect parameters for factorial survival designs with possibly right-
censored time-to-event data. In the special case of a two-sample design, it coincides with the …

Truncated survival data arise when the event time is observed only if it falls within a subject-
specific region, known as the truncation set. Left-truncated data arise when there is delayed …

In randomized clinical trials, the log-rank test and Cox proportional hazards model are the
gold standard in survival data analyses. While the log-rank test is generally valid, in the …

The g-formula can be used to estimate the treatment effect while accounting for confounding
bias in observational studies. With regard to time-to-event endpoints, possibly subject to …

A novel wild bootstrap procedure is introduced for testing superiority in unpaired two-sample
survival data. Combining classical weighted logrank tests yields a procedure with broader …