Medical statistics at a glance / Aviva Petrie, Caroline Sabin.

Formerly CIP. Uk

Includes index.

Types of data -- Data entry -- Error checking and outliers -- Displaying data graphically -- Describing data I: the "average" -- Describing data II: the "spread" -- Theoretical distributions I: the normal distribution -- Theoretical distributions II: other distributions -- Transformations -- Sampling and sampling distributions -- Confidence intervals -- Study design I -- Study design II -- Clinical trials -- Cohort studies -- Case-control studies -- Hypothesis testing -- Errors in hypothesis testing -- A single group -- Two related groups -- Two unrelated groups -- More than two groups -- A single proportion -- Two proportions -- More than two categories -- Correlation -- The theory of linear regression -- Performing a linear regression analysis -- Multiple linear regression analysis -- Binary outcomes and logistic regression -- Rates and Poisson regression -- Generalized linear models -- Explanatory variables in statistical models -- Issues in statistical modelling -- Checking assumptions -- Sample size calculations -- Presenting results -- Diagnostic tools -- Assessing agreement -- Evidence-based medicine -- Methods for clustered data -- Regression methods clustered data -- Systematic reviews and meta-analysis -- Survival analysis -- Bayesian methods.

This work covers a number of topics on different aspects of medical statistics. The authors have provided a basic introduction to the underlying concepts of medical statistics and a guide to the most commonly-used statistical procedures.