This text takes on an informal style to appeal to the reader whose first interest is probably not medical statistics. It looks at the most important procedures for the analysis of data, from the calculation of simple proportions to a variety of statistical tests.

Some fundamental stuff -- First things first : the nature of data -- Describing data with tables -- Describing data with charts -- Describing data from its distributional shape -- Describing data with numeric summary values -- Doing it right first time : designing a study -- From samples to populations : making inferences -- Chance would be a fine thing -- probability, risk and odds -- Estimating the value of a single population parameter -- Estimating the differences between two population parameters -- Estimating the ratio of two population parameters -- Testing hypotheses about the difference between two population parameters -- Testing hypotheses about the ratio of two population parameters -- Testing hypotheses about the equality of two or more proportions -- Measuring the association between two variables -- Measuring the agreement between two variables -- Straight-line models -- linear regression -- Curvy models -- logistic regression -- Measuring survival -- Systematic review and meta-analysis.