Meta-analysis in the presence of unexplained heterogeneity is frequently undertaken by
using a random-effects model, in which the effects underlying different studies are assumed …

In the field of psychology, the practice of p value null-hypothesis testing is as widespread as
ever. Despite this popularity, or perhaps because of it, most psychologists are not aware of …

This paper describes various components of the macromolecular crystallographic
refinement program REFMAC5, which is distributed as part of the CCP4 suite. REFMAC5 …

The viewpoint taken in much of this text is that PCA is mainly a descriptive tool with no need
for rigorous distributional or model assumptions. This implies that it can be used on a wide …

Information theory and inference, often taught separately, are here united in one entertaining
textbook. These topics lie at the heart of many exciting areas of contemporary science and …

This biennial Review summarizes much of particle physics. Using data from previous
editions, plus 2158 new measurements from 551 papers, we list, evaluate, and average …

Historical information is always relevant for clinical trial design. Additionally, if incorporated
in the analysis of a new trial, historical data allow to reduce the number of subjects. This …

Since the first edition of Stochastic Modelling for Systems Biology, there have been many
interesting developments in the use of" likelihood-free" methods of Bayesian inference for …

Risk and reliability analysis is an area of growing importance in geotechnical engineering,
where many variables have to be considered. Statistics, reliability modeling and engineering …

This book is a guide to the practical application of statistics in data analysis as typically
encountered in the physical sciences. It is primarily addressed at students and professionals …