Open Access
April 1997 Estimating disease attack rates in heterogeneous interacting populations, with applications to HIV vaccine trials
David Wick, Steven G. Self
Ann. Statist. 25(2): 642-661 (April 1997). DOI: 10.1214/aos/1031833667

Abstract

We describe models for infectious disease attack rates outside Aalen's multiplicative class and incorporating heterogeneity and interactions between subjects. Large-sample theory for the Nelson-Aalen estimator is developed, and its relevance examined in a simulation study. Planning for randomized, controlled clinical trials of prophylactic HIV vaccines partly motivated this work.

Citation

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David Wick. Steven G. Self. "Estimating disease attack rates in heterogeneous interacting populations, with applications to HIV vaccine trials." Ann. Statist. 25 (2) 642 - 661, April 1997. https://doi.org/10.1214/aos/1031833667

Information

Published: April 1997
First available in Project Euclid: 12 September 2002

zbMATH: 0926.62113
MathSciNet: MR1439317
Digital Object Identifier: 10.1214/aos/1031833667

Subjects:
Primary: 60K35 , 62F12 , 62P10
Secondary: 62E25 , 62G30 , 62M05

Keywords: asymptotics of Nelson-Aalen estimators , counting processes , Estimation in infectious diseases , HIV disease , interacting processes , vaccine trials

Rights: Copyright © 1997 Institute of Mathematical Statistics

Vol.25 • No. 2 • April 1997
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