The continuously increasing cost of the US healthcare system has received significant
attention. Central to the ideas aimed at curbing this trend is the use of technology in the form …

The p-value quantifies the discrepancy between the data and a null hypothesis of interest,
usually the assumption of no difference or no effect. A Bayesian approach allows the …

Trialists and epidemiologists often employ different terminology to refer to biases in
randomized trials and observational studies, even though many biases have a similar …

Background Excessive drinking is a significant cause of mortality, morbidity and social
problems in many countries. Brief interventions aim to reduce alcohol consumption and …

Designing Experiments and Analyzing Data: A Model Comparison Perspective (3rd edition)
offers an integrative conceptual framework for understanding experimental design and data …

Modelling Survival Data in Medical Research, Fourth Edition, describes the analysis of
survival data, illustrated using a wide range of examples from biomedical research. Written …

The clinical trial is “the most definitive tool for evaluation of the applicability of clinical
research.” It represents “a key research activity with the potential to improve the quality of …

Health and human services currently face a series of challenges–such as aging populations,
chronic diseases and new endemics–that require highly complex responses, and take place …

Banish your fears of statistical analysis using this clearly written and highly successful
textbook. Statistics for Veterinary and Animal Science Third Edition is an introductory text …

This book should be on the shelf of every practising statistician who designs experiments.
Good design considers units and treatments first, and then allocates treatments to units. It …