Like its two successful previous editions, Health & Numbers: A Problems-Based Introduction to Biostatistics, Third Edition, is the only fully problems-based introduction to biostatistics and offers a concise introduction to basic statistical concepts and reasoning at a level suitable for a broad spectrum of students and professionals in medicine and the allied health fields. This book has always been meant for use by advanced students who have not previously had an introductory biostatistics course - material often presented in a one-semester course - or by busy professionals who need to learn the basics of biostatistics. This user-friendly resource features over 200 real-life examples and real data to discuss and teach fundamental statistical methods. The new edition offers even more exercises than the second edition, and features enhanced Microsoft Excel and SAS samples and examples. Health & Numbers, Third Edition, truly strikes a balance between principles and methods of calculation that is particularly useful for students in medicine and health-related fields who need to know biostatistics.
Autorentext
Chap T. Le, PhD, is Distinguished Professor of Biostatistics in the School of Public Health at the University of Minnesota. A prolific and widely published author, Dr. Le has taught survival analysis and courses on basic biostatistical methods for over two decades. His health-related research focuses on analyses of survival and categorical data from clinical trials, epidemiological and laboratory studies, with major concentrations in the areas of otitis media (ear infection in children) and various cancers.
Klappentext
An all-new edition of thebestselling book on biostatistics
Like its two previous editions, this classic text is the only fully problems-based introductionto biostatistics written specifically for students and professionals in medicine andhealth-related fields. It offers a concise introduction to basic statistical concepts and reasoningwithout assuming any prior background in statistics and without the use of complexformulas or jargon.
This user-friendly book includes 200 real-life examples and real data for discussing and teaching fundamental statistical methods. The new edition offers even more exercises than the previous edition and features enhanced Microsoft Excel and SAS examples.
Health and Numbers, Third Edition strikes a balance between principles and methods ofcalculation, covering the nuts and bolts of elementary applied statistics. Students andprofessionals will quickly and easily gain an understanding of how to successfully collectand analyze data in the human health disciplines.
Zusammenfassung
Like its two successful previous editions, Health & Numbers: A Problems-Based Introduction to Biostatistics, Third Edition, is the only fully problems-based introduction to biostatistics and offers a concise introduction to basic statistical concepts and reasoning at a level suitable for a broad spectrum of students and professionals in medicine and the allied health fields. This book has always been meant for use by advanced students who have not previously had an introductory biostatistics course - material often presented in a one-semester course - or by busy professionals who need to learn the basics of biostatistics. This user-friendly resource features over 200 real-life examples and real data to discuss and teach fundamental statistical methods. The new edition offers even more exercises than the second edition, and features enhanced Microsoft Excel and SAS samples and examples. Health & Numbers, Third Edition, truly strikes a balance between principles and methods of calculation that is particularly useful for students in medicine and health-related fields who need to know biostatistics.
Inhalt
Preface.
Introduction from the First Edition.
1. Proportions, Rates, and Ratios.
1.1 Proportions.
1.3 Ratios.
1.4 Graphical and Computational Aids.
Exercises.
2. Organization, Summarization, and Presentation of
Data.
2.1 Tabular and Graphical Methods.
2.2 Numerical Methods.
2.3 Coefficient of Correlation.
2.4 Graphical and Computational Aids.
Exercises.
3. Probability and Probability Models.
3.1 Probability.
3.2 The Normal Distribution.
3.3 Probability Models.
3.4 Graphical and Computational Aids.
Exercises.
4. Confidence Estimation.
4.1 Basic Concepts.
4.2 Estimation of a Population Mean.
4.3 Estimation of a Population Proportion.
4.4 Estimation of a Population Odds Ratio.
4.5 Estimation of a Population Correlation Coefficient.
4.6 A Note on Computation.
Exercises.
5. Introduction to Hypothesis Testing.
5.1 Basic Concepts.
5.2 Analogies.
5.3 Summaries and Conclusions.
6. Comparison of Population Proportions.
6.1 One-sample Problem with Binary Data.
6.2 Analysis of Pair-matched Data.
6.3 Comparison of Two Proportions.
6.4 The Mantel-Haenszel Method.
6.5 Computational Aids.
Exercises.
7. Comparison of Population Means.
7.1 One-sample Problem with Continuous Data.
7.2 Analysis of Pair-matched Data.
7.3 Comparison of Two Means.
7.5 One-way Analysis of Variance (ANOVA).
7.6 Computational Aids.
Exercises.
8. Regression Analysis.
8.1 Simple Regression Analysis.
8.2 Multiple Regression Analysis.
8.3 Graphical and Computational Aids.
Exercises.
Bibliography.
Appendices.
A. Table of Random Numbers.
B. Areas under the Standard Normal Curve.
C. Percentiles of the t-Distribution.
D. Percentiles of the Chi-square Distribution.
E. Percentiles of the F-Distribution.
Answers to Exercises.
Index.