It is a book of key statistics principles for anyone studying or working in medicine and healthcare who needs a basic overview of the subject. It is ideal for non-statisticians who need to understand how statistics are used and applied in medicine and medical research.
Using a consistent format, the authors describe the most common statistical methods in turn and then rate them on how difficult they are to understand and how common they are. This fourth edition continues with the same structure as the previous editions, with new sections on cut-off points and ROC curves, as well as a new chapter on choosing the right statistical test. It also features a completely revised and updated "Statistics at work" section.
Statistics which describe data (Percentages; Mean; Median; Mode; Standard deviation); Statistics which test confidence (Confidence intervals; P values); Statistics which test differences (t tests and other parametric tests; Mann–Whitney and other non-parametric tests; Chi-squared); Statistics which compare risk (Risk ratio; Odds ratio; Risk reduction and numbers needed to treat); Statistics which analyze relationships: (Correlation; Regression); Statistics which analyze survival (Survival analysis: life tables and Kaplan–Meier plots; The Cox regression model); Statistics which analyze clinical investigations and screening (Sensitivity, specificity and predictive value; Level of agreement); Statistics at work: (Means, standard deviations, medians and odds ratios; Confidence intervals and number needed to treat; Correlation and regression; Survival analysis; Sensitivity, specificity and predictive values; Choosing the right statistical test).