Interpretation and Uses of Medical Statistics

ISBN-13: 9780632047635 / Angielski / Miękka / 2000 / 588 str.

Leslie E. Daly; Geoffrey J. Bourke; Geoffrey J. Bourke

Opis

In 1969 the first edition of this book introduced the concepts of statistics and their medical application to readers with no formal training in this area. While retaining this basic aim, the authors have expanded the coverage in each subsequent edition to keep pace with the increasing use and sophistication of statistics in medical research. This fifth edition has undergone major restructuring, with some sections completely rewritten; it is now more logically organized and more user friendly (with the addition of 'summary boxes' throughout the text). It incorporates new statistical techniques and approaches that have made an appearance since the last edition. In addition, some chapters or chapter headings are specifically marked to signify material that is more difficult than the material in which it is embedded - such sections or chapters can be omitted at first reading. Several new chapters have been added . "Associations: Chance, Confounded and Causal?" explains without any formulae the concepts underlying confounding, confidence intervals and p values, and the interpretation of associations observed in research investigations. Another new chapter considers sample size calculations in some detail and provides, in addition to the relevant formulae, useful tables that should give the researcher an indication of the order of magnitude of the number of subjects he or she might require in different situations.

Recenzje

"Medical Uses of Statistics, 3rd Edition" presents the concepts of medical statistics across a broad range of topics with a practical perspective, a moderate level of detail, and a minimal number of formulae . . . The text is clearly written in a consistent style, as illustrated by these excerpts." (Journal of Clinical Research Best Practices, 8 August 2011)

...the book can be warmly recommended as a textbook and reference for undergraduate medical students and health professionals."  Statistical Methods in Medical Research (on the fourth edition)

"It should prove useful for both undergraduate medical and paramedical students, and for postgraduate researchers and clinicians who wish to have a greater understanding of medical statistics or to analyse their own data."  Modern Medicine of Australia (on the fourth edition)

Spis treści

1. Describing Data – A Single Variable.

2. Probability, Populations and Samples.

3. Associations: Chance, Confounded or Causal?.

4. Confidence intervals: General principles; Proportions, Means, Medians, Counts and Rates.

5. Hypothesis Testing: General Principles and One–sample Tests for Means, Proportions, Counts and Rates.

6. Epidemiological and Clinical Research Methods.

7. Confidence intervals and Hypothesis Tests: Two–group Comparisons.

8. Sample Size Determination.

9. Comparison of More than Two Independent Groups.

10. Associations between Two Quantitative Variables: Regression and Correlation.

11. Multivariate Analysis and the Control of Confounding!.

12. Bias and Measurement Error.

Bibliography.

Appendix A Computational Shortcuts.

Appendix B Statistical Tables.

Appendix C A "Cookbook" of Hypothesis Tests and Confidence Intervals.

Appendix D World Medical Association Declaration of Helsinki

Blurb

In 1969 the first edition of this book aimed to introduce the concepts of statistics and their medical application to readers with no formal training in this area. While retaining this basic aim, the authors have expanded the coverage in each subsequent edition to keep pace with the increasing use and sophistication of statistics in medical research.

This fifth edition has undergone major restructuring, with some sections totally rewritten; it is now more logically organised and substantially more user–friendly (with the addition of ′summary boxes′ throughout the text) to incorporate the new statistical techniques and approaches that have made an appearance in the last nine years since the last edition. Also, some chapters or chapter headings are specifically marked to signify material that is generally a little more difficult than the material in which it is embedded – such sections or chapters can be omitted at first reading.

Several new chapters have been added – "Associations: Chance, Confounded and Causal?" explaining without any formulae the concepts underlying confounding, confidence intervals and p values, and the interpretation of associations observed in research investigations. The other new chapter considers sample size calculations in some detail and provides, in addition to the relevant formulae, useful tables which should give the researcher an indication of the order of magnitude of the number of subjects he or she might require in different situations.