For anyone reading original research articles in the medical journals, an understanding of statistics at more than the absolutely basic level is essential. Statistics at Square Two is written to meet this need. It takes the reader through the most commonly used modern statistical methods and shows how to interpret them, and to recognise errors. The book discusses: models, tests and data; multiple regression; logistic regression; survival analysis; random effects models; poisson, ordinal and time series regression; logarithms, likelihood, the bootstrap and bayesian methods. It is the more advanced companion to the classic introduction to medical statistics, Statistics at Square One.