In many experiments in the life sciences, several endpoints are recorded per subject. The
analysis of such multivariate data is usually based on MANOVA models assuming …

We study various bootstrap and permutation methods for matched pairs, whose distributions
can have different shapes even under the null hypothesis of no treatment effect. Although …

The analysis of adverse events (AEs) is a key component in the assessment of a drug's
safety profile. Inappropriate analysis methods may result in misleading conclusions about a …

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

Multi-state models for event history analysis most commonly assume the process is Markov.
This article considers tests of the Markov assumption that are applicable to general multi …

Background Providing estimates of uncertainty for statistical quantities is important for
statistical inference. When the statistical quantity of interest is a survival curve, which is a …

Importance Lung cancer among never-smokers accounts for 25% of all lung cancers in the
US; recent therapeutic advances have improved survival among patients with initial primary …

Innovations are urgently required for clinical development of antibacterials against multidrug-
resistant organisms. Therefore, a European, public-private working group (STAT-Net; part of …

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 …

Randomized clinical trials with time-to-event endpoints are frequently stopped after a
prespecified number of events has been observed. This practice leads to dependent data …