This concise book will help you to interpret the statistical evidence provided by quantitative studies and to plan how to work with data in your own clinical research. Following the successful format of the Toolkit series, Statistics Toolkit guides the reader through statistical concepts using flowcharts, diagrams and real life examples to reflect concepts in a simple and practical manner.Sections include: Clear explanation of basic concepts in the context of clinical research Demonstration of how data are described, displayed and interpreted in different formats Practical glossary and key to the symbols used in statistics and a discussion of the software toolsThe book offers a handy, quick reference that has an easy-to-follow structure throughout, making it ideal for health care professionals and students.
Author(s): Rafael Perera, Carl Heneghan, Douglas Badenoch
Edition: 1
Publisher: Blackwell Publishing, BMJ Books
Year: 2008
Language: English
Pages: 122
Tags: Медицинские дисциплины;Социальная медицина и медико-биологическая статистика;
Cover......Page 1
Title......Page 4
Copyright......Page 5
Contents......Page 6
Introduction......Page 8
Data: describing and displaying......Page 10
Probability and confi dence intervals......Page 22
Hypothesis testing......Page 28
Choosing which measure and test to use......Page 32
Randomised controlled trials: mean, median,mode, RD, NNT, Mann–Whitney and log rank tests......Page 35
Systematic reviews 1: odds, odds ratio, heterogeneity, funnel plots......Page 43
Case-control studies: odds ratios, logistic regression......Page 53
Questionnaire studies 1: weighted mean frequency, nonparametric tests......Page 60
Questionnaire studies 2: inter-rater agreement......Page 66
Cohort studies: prevalence, incidence, risk, survival, mortality rate, association, prognostic factor......Page 73
Systematic reviews 2: Cohort study odds ratios and relative risk......Page 77
Diagnostic tests: sensitivity, specificity, likelihood ratios, ROC curves, pre- and post-test odds, pre- and post-test probability......Page 80
Scale validation: correlation......Page 88
Statistical toolkit: Glossary......Page 96
Software for data management and statistical analysis......Page 110
References......Page 115
Index......Page 116
Commonly used symbols......Page 122