The effect of estimating prevalences on the population-wise error rate.

The population-wise error rate is a type I error rate for clinical trials with multiple target populations. In such trials, a treatment is tested for its efficacy in each population. The population-wise error rate is defined as the probability that a randomly selected, future patient will be exposed to an inefficient treatment based on the study results.

Adaptive Multiple Comparisons With the Best.

Subset selection methods aim to choose a nonempty subset of populations including a best population with some prespecified probability. An example application involves location parameters that quantify yields in agriculture to select the best wheat variety. This is quite different from variable selection problems, for instance, in regression.

Effectiveness of a peer-supported crisis intervention to reduce the proportion of compulsory admissions in acute psychiatric crisis interventions in an outreach and outpatient setting: study protocol for an exploratory cluster randomised trial combined with qualitative methods.

Introduction: Compulsory admissions are associated with feelings of fear, humiliation and powerlessness. The number of compulsory admissions in Germany and other high-income countries has increased in recent years. Peer support has been shown to increase the self-efficacy of individuals with mental health conditions in acute crises and to reduce the use of coercive measures in clinical settings.

An exhaustive ADDIS principle for online FWER control.

In this paper, we consider online multiple testing with familywise error rate (FWER) control, where the probability of committing at least one type I error will remain under control while testing a possibly infinite sequence of hypotheses over time. Currently, adaptive-discard (ADDIS) procedures seem to be the most promising online procedures with FWER control in terms of power. Now, our main contribution is a uniform improvement of the ADDIS principle and thus of all ADDIS procedures.

Simultaneous confidence intervals for an extended Koch-Röhmel design in three-arm non-inferiority trials.

Three-arm 'gold-standard' non-inferiority trials are recommended for indications where only unstable reference treatments are available and the use of a placebo group can be justified ethically. For such trials, several study designs have been suggested that use the placebo group for testing 'assay sensitivity', that is, the ability of the trial to replicate efficacy. Should the reference fail in the given trial, then non-inferiority could also be shown with an ineffective experimental treatment and hence becomes useless.