Biostatistical Methods: The Assessment of Relative Risks
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English

JOHN M. LACHIN, ScD, is Professor of Statistics and Biostatistics at the George Washington University in Washington, D.C., and Director of the Biostatistics Center in Rockville, Maryland.

English

Biostatistics and Biomedical Science.

Relative Risk Estimates and Tests for Two Independent Groups.

Sample Size, Power, and Efficiency.

Stratified-Adjusted Analysis for Two Independent Groups.

Case-Control and Matched Studies.

Applications of Maximum Likelihood and Efficient Scores.

Logistic Regression Models.

Analysis of Count Data.

Analysis of Event-Time Data.

Appendices.

References.

Indexes.

English

“…recommended for graduate students and researchers in biostatistics and epidemiology…” (Statistical Methods in Medical Research, No.13, 2004)

This is an excellent textbook for an advanced course in biostatsitics and also an indispensable reference for biostatisticians and epidemiologists...what makes this textbook so valuable is that it covers the core methods first using classical statistical tools and then likelihood-based theories, highlighting the continuities. Another important feature is the care and balance with which it is drafted: the reasoning is always clear, the mathematical presentation detailed but to thepoint, the examples linked across different chapters. (Short Book Reviews, Vol. 20, No. 3, December 2000)

"...an excellent guide for graduate-level students in biostatistics and invaluable reference for biostatisticians, applied statisticians, and epidemiologists." (Mathematical Reviews, Issue 2001h)

"...does a very thorough job of establishing a sound bias for the use of biostatistical methodology." (Technometrics, February 2002)

"..an excellent guide for graduate-level students in biostatistics and an invaluable reference for biostatisticians, applied statisticians, and epidemiologists." (Zentralblatt MATH, Vol. 961, 2001/11)

"the book is an excellent guide" (Zentralblatt MATH, Vol.961, No.11 2001)

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