Matching methods for estimating causal effects using multiple control groups Book

Aiming to help health-care professionals and researchers who may have a fear of statistics, this book sets out to bridge the gap between theoretical knowledge and the practical application of statistics in real-life health-service research. It follows a case study of a research project from the initial design of a survey, through the implementation methodology, to the descriptive and inferential analysis of data. At all stages, potential problems and common pitfalls are discussed, and guidance is given on suitable approaches.