Biostatistical Methods in Epidemiology [Hardcover]

Stephen C. Newman (Author), Newman (Author)

Book Description

ISBN-10: 0471369144 | ISBN-13: 978-0471369141 | Publication Date: July 27, 2001 | Edition: 1

An introduction to classical biostatistical methods in epidemiology

Biostatistical Methods in Epidemiology provides an introduction to a wide range of methods used to analyze epidemiologic data, with a focus on nonregression techniques. The text includes an extensive discussion of measurement issues in epidemiology, especially confounding. Maximum likelihood, Mantel-Haenszel, and weighted least squares methods are presented for the analysis of closed cohort and case-control data. Kaplan-Meier and Poisson methods are described for the analysis of censored survival data. A justification for using odds ratio methods in case-control studies is provided. Standardization of rates is discussed and the construction of ordinary, multiple decrement and cause-deleted life tables is outlined. Sample size formulas are given for a range of epidemiologic study designs. The text ends with a brief overview of logistic and Cox regression. Other highlights include:

• Many worked examples based on actual data
• Discussion of exact methods
• Recommendations for preferred methods
• Extensive appendices and references

Biostatistical Methods in Epidemiology provides an excellent introduction to the subject for students, while also serving as a comprehensive reference for epidemiologists and other health professionals.
For more information, visit www.wiley.com/mathematics

Editorial Reviews

Review

“…besides being a reference book (it)…includes an interesting reading matter…” (Statistics in Medicine, Vol.23, No.23, 15th December 2004)

"Introduces methods used to analyze epidemiologic data, with a focus on non-regression techniques." (SciTech Book News, Vol. 25, No. 4, December 2001)

"...well suited as an introductory text.... I also recommend this book to practitioners...students, health professionals and epidemiologists…all these groups will find it useful." (Statistical Methods in Medical Research, Vol. 11, No. 1, 2002)

"This book has much to recommend it...a useful resource on basic techniques and a supplement to other texts for an intermediate-level audience." (Epidemiology, Vol. 13, No. 3, May 2002)

"offers a very thorough presentation....profuse and excellent illustrations." (Technometrics, Vol. 44, No. 3, August 2002)

"...both a pleasure to read and an excellent reference...researchers and students alike will benefit from having this book on their shelves..." (Journal of the American Statistical Association, March 2003)

From the Back Cover

An introduction to classical biostatistical methods in epidemiology

Biostatistical Methods in Epidemiology provides an introduction to a wide range of methods used to analyze epidemiologic data, with a focus on nonregression techniques. The text includes an extensive discussion of measurement issues in epidemiology, especially confounding. Maximum likelihood, Mantel-Haenszel, and weighted least squares methods are presented for the analysis of closed cohort and case-control data. Kaplan-Meier and Poisson methods are described for the analysis of censored survival data. A justification for using odds ratio methods in case-control studies is provided. Standardization of rates is discussed and the construction of ordinary, multiple decrement and cause-deleted life tables is outlined. Sample size formulas are given for a range of epidemiologic study designs. The text ends with a brief overview of logistic and Cox regression. Other highlights include:
* Many worked examples based on actual data
* Discussion of exact methods
* Recommendations for preferred methods
* Extensive appendices and references

Biostatistical Methods in Epidemiology provides an excellent introduction to the subject for students, while also serving as a comprehensive reference for epidemiologists and other health professionals.

For more information, visit www.wiley.com/mathematics

See all Editorial Reviews

Product Details

• Hardcover: 400 pages
• Publisher: Wiley-Interscience; 1 edition (July 27, 2001)
• Language: English
• ISBN-10: 0471369144
• ISBN-13: 978-0471369141
• Product Dimensions: 9.7 x 6.3 x 0.9 inches
• Shipping Weight: 1.5 pounds (View shipping rates and policies)
• Average Customer Review: 3.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #2,438,994 in Books (See Top 100 in Books)

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Most Helpful Customer Reviews

4 of 4 people found the following review helpful:

3.0 out of 5 stars Interesting and difficult book, January 8, 2005

By 

Ausprey Eagle (MA, USA) - See all my reviews

This review is from: Biostatistical Methods in Epidemiology (Hardcover)

This was a difficult book for me to read and review and I think it would be tough to write as well. Biostatistics is taught generally devoid of its epidemiological context but this book tries to break a new ground and tries to show use of biostatistics in derivations of epidemiology measures. This makes the book theoritical which is what I was looking for. It succesfully breaks a new ground in some places particularly on on confounding where author summarizes recent literature neatly. However, other chapters require knowledge of Maximum Likelihood (ML) methods which are covered in an intermediate biostatistic texts like Larsen and Marx. This book is interesting because its the only book which I have found which covers the ML methods for odds ratio but this is the only book which covers them. Disappointingly, the author skips derivations and reaches straight to the results which is frustating. Since this is textbook for advanced students and author assumes knowledge of ML methods, eschewing details and derivations is sad.