Interpreting Statistical Findings: A Guide for Health Professionals and Students
Autor Jan Walker, Palo Almonden Limba Engleză Paperback – 16 iul 2010
Conor Hamilton, Student Nurse, Queen’s University Belfast, UKNeed help interpreting other people's health research?
This book offers guidance for students undertaking a critical review of quantitative research papers and will also help health professionals to understand and interpret statistical results within health-related research papers.
The book requires little knowledge of statistics, includes worked examples and is broken into the following sections:
- A worked example of a published RCT and a health survey
- Explanations of basic statistical concepts
- Explanations of common statistical tests
- A quick guide to statistical terms and concepts
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Specificații
ISBN-13: 9780335235971
ISBN-10: 0335235972
Pagini: 232
Ilustrații: illustrations
Dimensiuni: 152 x 229 x 12 mm
Greutate: 0.36 kg
Editura: McGraw Hill Education
Colecția Open University Press
Locul publicării:United Kingdom
ISBN-10: 0335235972
Pagini: 232
Ilustrații: illustrations
Dimensiuni: 152 x 229 x 12 mm
Greutate: 0.36 kg
Editura: McGraw Hill Education
Colecția Open University Press
Locul publicării:United Kingdom
Cuprins
Part 1 Worked Examples
The randomised controlled trial
The Health survey
Part 2 Interpreting statistical concepts
Measuring variables: continuous, ordinal and categorical data
Describing continuous data: The normal distribution
Describing nonparametric data
Measuring concepts: Validity and reliability
Sampling data: Probability and non-probability samples
Sample size: criteria for judging adequacy
Testing hypotheses: what does p actually mean?
Part 3 Statistical tests
Introduction to inferential statistics
Comparing two independent (unrelated) groups: independent (unrelated) t test, Mann-Whitney U test, contingency analysis- Fisher's exact test and Chi-square test
Comparing three or more independent (unrelated) groups: One-way ANOVA, Kruskal Wallis test and Chi-square test
Comparing two sets of related data: Matched pairs or single-sample repeated measures- related (paired) t test, Wilcoxon signed rank test, sign test and McNemar's test
Complex group comparisons: ANOVA / ANCOVA, Friedman two-way ANOVA by ranks and Cochrane Q test
Simple tests of association: Correlation and linear regression
complex associations: Multiple and logistic regression
Part 4 Quick reference guide
I Framework for statistical review
II Glossary of terms
III Guide to statistical symbols
IV Overview of common statistical tests
V Guide to the assumptions that underpin statistical tests
VI Summary of statistical test selection and results
VII Extracts from statistical tables
The Health survey
Part 2 Interpreting statistical concepts
Measuring variables: continuous, ordinal and categorical data
Describing continuous data: The normal distribution
Describing nonparametric data
Measuring concepts: Validity and reliability
Sampling data: Probability and non-probability samples
Sample size: criteria for judging adequacy
Testing hypotheses: what does p actually mean?
Part 3 Statistical tests
Introduction to inferential statistics
Comparing two independent (unrelated) groups: independent (unrelated) t test, Mann-Whitney U test, contingency analysis- Fisher's exact test and Chi-square test
Comparing three or more independent (unrelated) groups: One-way ANOVA, Kruskal Wallis test and Chi-square test
Comparing two sets of related data: Matched pairs or single-sample repeated measures- related (paired) t test, Wilcoxon signed rank test, sign test and McNemar's test
Complex group comparisons: ANOVA / ANCOVA, Friedman two-way ANOVA by ranks and Cochrane Q test
Simple tests of association: Correlation and linear regression
complex associations: Multiple and logistic regression
Part 4 Quick reference guide
I Framework for statistical review
II Glossary of terms
III Guide to statistical symbols
IV Overview of common statistical tests
V Guide to the assumptions that underpin statistical tests
VI Summary of statistical test selection and results
VII Extracts from statistical tables