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.
Publié le : 1997-04-14
Classification:
Estimation in infectious diseases,
interacting processes,
asymptotics of Nelson-Aalen estimators,
counting processes,
vaccine trials,
HIV disease,
62F12,
60K35,
62P10,
62M05,
62G30,
62E25
@article{1031833667,
author = {Wick, David and Self, Steven G.},
title = {Estimating disease attack rates in heterogeneous interacting populations, with applications to HIV vaccine trials},
journal = {Ann. Statist.},
volume = {25},
number = {6},
year = {1997},
pages = { 642-661},
language = {en},
url = {http://dml.mathdoc.fr/item/1031833667}
}
Wick, David; Self, Steven G. Estimating disease attack rates in heterogeneous interacting populations, with applications to HIV vaccine trials. Ann. Statist., Tome 25 (1997) no. 6, pp. 642-661. http://gdmltest.u-ga.fr/item/1031833667/