Estimation of summary protective efficacy using a frailty mixture model for recurrent event time data.


Xu, Y; Cheung, YB; Lam, KF; Milligan, P; (2012) Estimation of summary protective efficacy using a frailty mixture model for recurrent event time data. Statistics in medicine, 31 (29). pp. 4023-39. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.5458

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Abstract

: Recurrent event time data are common in experimental and observational studies. The analytic strategy needs to consider three issues: within-subject event dependence, between-subject heterogeneity in event rates, and the possibility of a nonsusceptible fraction. Motivated by the need to estimate the summary protective efficacy from recurrent event time data as seen in many infectious disease clinical trials, we propose a two-part frailty mixture model that simultaneously accommodates all the three issues. In terms of vaccine action models, the proposed model is a combination of the 'all-or-none' and the 'leaky' models, and the summary protective efficacy is a unified measure of the vaccine's twofold effects in completely or partially protecting the vaccinated individuals against the study event. The model parameters of interest are estimated using the expectation-maximization algorithm with their respective variances estimated using Louis's formula for the expectation-maximization algorithm. The summary protective efficacy is estimated by a composite estimand with its variance estimated using the delta method. The performance of the proposed estimation approach is investigated by a simulation study. Data from a trial of malaria prophylaxis conducted in Ghana are reanalyzed. Copyright © 2012 John Wiley & Sons, Ltd.

Item Type: Article
Faculty and Department: Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology
Research Centre: Tropical Epidemiology Group
PubMed ID: 22764039
Web of Science ID: 311402800017
URI: http://researchonline.lshtm.ac.uk/id/eprint/449566

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