Principles of Biostatistics

Author:   Marcello Pagano ,  Kimberlee Gauvreau ,  Heather Mattie (Harvard T.H. Chan School of Public Health, MA, USA)
Publisher:   Taylor & Francis Ltd
Edition:   3rd edition
ISBN:  

9780367355807


Pages:   620
Publication Date:   07 June 2022
Format:   Hardback
Availability:   In Print   Availability explained
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Principles of Biostatistics


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Author:   Marcello Pagano ,  Kimberlee Gauvreau ,  Heather Mattie (Harvard T.H. Chan School of Public Health, MA, USA)
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Edition:   3rd edition
Weight:   1.420kg
ISBN:  

9780367355807


ISBN 10:   0367355809
Pages:   620
Publication Date:   07 June 2022
Audience:   College/higher education ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Introduction Part I Variability 2. Descriptive Statistics 3. Rates and Standardization 4. Life Tables Part II Probability 5. Probability 6. Screening and Diagnostic Tests 7. Theoretical Probability Distributions 8. Sampling Distribution of the Mean Part III Inference 9. Confidence Intervals 10. Hypothesis Testing 11. Comparison of Two Means 12. Analysis of Variance 13. Nonparametric Methods 14. Inference on Proportions 15. Contingency Tables 16. Correlation 17. Simple Linear Regression 18. Multiple Linear Regression 19. Logistic Regression 20. Survival Analysis 21. Sampling Theory 22. Study Design Bibliography Glossary Statistical Tables Index

Reviews

Overall, this remains the best resource out there for teaching introductory biostatistics to graduate students in public health and medicine. -Amy Herring, Duke University All in all, this is an excellent manuscript and I commend the authors for writing a compelling text that not only provides a sound, comprehensive introduction to biostatistical methods, but also motivates and illustrates them using engaging and relevant contemporary examples. I eagerly look forward to the forthcoming publication of the third edition. -Yue Jiang, Duke University


""Overall, this remains the best resource out there for teaching introductory biostatistics to graduate students in public health and medicine."" -Amy Herring, Duke University ""All in all, this is an excellent manuscript and I commend the authors for writing a compelling text that not only provides a sound, comprehensive introduction to biostatistical methods, but also motivates and illustrates them using engaging and relevant contemporary examples. I eagerly look forward to the forthcoming publication of the third edition."" -Yue Jiang, Duke University ""This book is a useful reference on standard biostatistics topics suited for those with limited mathematical and statistical experience and can certainly be used (and has) as text for persons in programs in the health sciences."" -Peter Wludyka in Technometrics, April 2023 ""The new edition is indeed a pleasant surprise. First, the presentation differs from the previous two editions by dividing the book into three parts—variability, probability, and inference—making it clear that these are the three focuses of the book as well as the core topics of statistics. [...] This third edition will no doubt be a popular textbook again for introductory courses. The online resources are helpful. It would be suitable for a one-year course so that the three parts, variability, probability, and inference, can be completely covered in sequence, providing a comprehensive understanding of concepts in biostatistics. [...] Overall, I highly recommend this textbook and congratulate the authors on writing a wonderful book again."" -Chuhsing Kate Hsiao in Biometrics, June 2023


Author Information

Marcello Pagano is Professor of Statistical Computing in the Department of Biostatistics at the Harvard School of Public Health. His research in biostatistics is on computer intensive inference and surveillance methods that involve screening methodologies, with their associated laboratory tests, and in obtaining more accurate testing results that use existing technologies. Kimberlee Gauvreau is Associate Professor in the Department of Biostatistics and Associate Professor of Pediatrics at Harvard Medical School. Dr. Gauvreau’s research focuses on biostatistical issues arising in the field of pediatric cardiology. She also works on the development and validation of methods of adjustment for case mix complexity. Heather Mattie is Lecturer on Biostatistics and the Co-Director Health Data Science Program at the Harvard School of Public Health.

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