Modern data analysis tools and statistical modeling techniques are increasingly used in
clinical research to improve diagnosis, estimate disease progression and predict treatment …

Introduction: Clinical development of new drugs is a long and costly process. There is a
need to find solutions which can improve and shorten this process. By introducing flexibility …

Relative risk (RR) is a preferred measure for investigating associations in clinical and
epidemiological studies with dichotomous outcomes. However, if the outcome of interest is …

Decision-making is central to every phase of drug development, and especially at the proof
of concept stage where risk and evidence must be weighed carefully, often in the presence …

Through the use of an informative prior, Bayesian methodologies could potentially borrow
the strength of historical information and become more and more popular for their …

Replicability of results is regarded as the corner stone of science. Recent research seems to
raise doubts about whether this requirement is generally fulfilled. Often, replicability of …

The advent of dose optimization has led to a paradigm shift in oncology clinical trials to find
the optimal biologic dose (OBD). Phase 1/2 trials with randomized doses can facilitate …

We present bayesint, a Python package for calculating Bayesian credible intervals for ratios
of two independent beta distributions such as are used when considering binomial data …

Although there is a wide variety of books and numerous journal articles written on Bayesian
approaches in the analysis of data, not much has been written about reporting of these …

We consider a default Bayesian approach to multiple testing of equality of two binomial
proportions. While our approach is motivated by a scenario where one proportion …