Table of Contents

1: Introduction
2: Risk Factors for Infection and the Probability of HIV Transmission
3: Surveys for Seroprevalence and Seroincidence
4: The Incubation Period Distribution
5: Cofactors and Markers
6: Screening and Accuracy of Tests for HIV
7: Statistical Issues in Surveillance of AIDS Incidence
8: Back-Calculation
9: Epidemic Transmission Models
10: Synthesizing Data Sources and Methods for Assessing the Scope of the Epidemic
11: Developing and Evaluating New Therapies and Vaccines

Reviews

"All in all this is an excellent book for epidemiologists and statisticians. It will help greatly in predicting what might happen in the future and show how one can change the figures as the facts are presented through the years. This is a highly recommended book for all academic and medical libraries." --AIDS Book Review Journal, University of Illinois at Chicago
"One might say the authors of the book under review here became the John Graunts of the HIV epidemic. Working closely with the CDC, they were involved in the development of many of the statistical methods used in the analysis of HIV/AIDS data....This book gives a careful description of these methods. In addition, it gives much of the quantitative history of the epidemic in the United States....Should be of particular interest to biostatisticians and
epidemiologists who deal with epidemiological data, but should also be of interest to infectious-disease scientists who are not necessarily quantitatively oriented....I would recommend the book both as a text
and a reference." --Ira M. Longini, Jr., Emory University School of Public Health, Science
"This volume presents the contributions that statistical science can make toward current stories in the prevention and control of diseases caused by Human Immunodeficiency Virus (HIV), as well as estimating the magnitude and future course of the HIV epidemic."--American Journal of Public Health
"[The authors] have accomplished their goals with a very clearly written, comprehensive, and well organized book.[They] provide a complete discussion, with examples, of the many biases that must be considered in using HIV/AIDS data. Their description of the back calculation method, which they developed, is an especially good presentation of the uses and limitation of this method for the estimation of HIV incidence....Should be read by all health professionals
who need to understand the quantitative aspects of HIV/AIDS epidemics. It will also be a valuable reference book for anyone involved with clinical or epidemiological studies of HIV/AIDS." --Dr. James
Chin, University of California, Berkeley, Epidemiology Monitor
"This book, by two workers who have made very important contributions of their own, is an impressive and authoritative account of the subject....While the book is addressed to specialists, a general statistical reader who has not followed work on AIDS is likely to be interested and impressed by the wide range of ideas, techniques and special methods involved." --Short Book Reviews, a publication of the International Statistical Institute
"That this book succeeds so well is a tribute to the authors' effort in evaluating statistical material, showing the relationship among differing approaches, and communicating clearly. The mathematical level rarely requires anything beyond a college calculus course and basic courses in probability, inference, and survival methods...the achievement of Brookmeyer and Gail, reflecting the work of hundreds of statisticians and other scientists, helps assure that
appropriate methods will be used in the future - not only in AIDS research, but also in related problems as well. Because of its accessibility to a fairly broad readership it will be of interest to a
wide range of quantitative scientists studying AIDS or other infectious diseases.--Victor DeGruttola, Harvard University
"This book puts together most of the material available up to 1992 in a logical and structured approach, and I would highly commend the authors for the clarity and presentation of their review."--Journal of Public Health Medicine