Quantitative Methods in HIV/AIDS Research provides a comprehensive discussion of modern statistical approaches for the analysis of HIV/AIDS data. The first section focuses on statistical issues in clinical trials and epidemiology that are unique to or particularly challenging in HIV/AIDS research; the second section focuses on the analysis of laboratory data used for immune monitoring, biomarker discovery and vaccine development; the final section focuses on statistical issues in the mathematical modeling of HIV/AIDS pathogenesis, treatment and epidemiology.

This book brings together a broad perspective of new quantitative methods in HIV/AIDS research, contributed by statisticians and mathematicians immersed in HIV research, many of whom are current or previous leaders of CFAR quantitative cores. It is the editors’ hope that the work will inspire more statisticians, mathematicians and computer scientists to collaborate and contribute to the interdisciplinary challenges of understanding and addressing the AIDS pandemic.

section I|106 pages

Quantitative Methods for Clinical Trials and Epidemiology

chapter 1|14 pages

Statistical Issues in HIV Non-Inferiority Trials

ByMimi Kim

chapter 2|24 pages

Sample Size for HIV-1 Vaccine Clinical Trials with Extremely Low Incidence Rate

ByShein-Chung Chow, Yuanyuan Kong, Shih-Ting Chiu

chapter 3|22 pages

Adaptive Clinical Trial Design

ByShein-Chung Chow, Fuyu Song

chapter 4|24 pages

Generalizing Evidence from HIV Trials Using Inverse Probability of Sampling Weights

ByAshley L. Buchanan, Michael G. Hudgens, Stephen R. Cole

chapter 5|20 pages

Statistical Tests of Regularity among Groups with HIV Self-Test Data

ByJohn Rice, Robert L. Strawderman, Brent A. Johnson

section II|92 pages

Quantitative Methods for Analysis of Laboratory Assays

chapter 8|22 pages

The Immunoglobulin Variable-Region Gene Repertoire and Its Analysis

ByThomas B. Kepler, Kaitlin Sawatzki

chapter 9|20 pages

Probability-Scale Residuals in HIV/AIDS Research: Diagnostics and Inference

ByBryan E. Shepherd, Qi Liu, Valentine Wanga, Chun Li

section III|84 pages

Quantitative Methods for Dynamical Models and Computer Simulations