Estimation of the Force of Infection from Current Status Data Using Generalized Linear Mixed Models

DOI10.1080/02664760701590525OpenAlexW1989248550WikidataQ57515355 ScholiaQ57515355MaRDI QIDQ5123321

Marc Aerts, Pierre Van Damme, Christel Faes, Ziv Shkedy, Geert Molenberghs, Heide Theeten, Philippe Beutels, Harriet Namata

Publication date: 28 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760701590525

zbMATH Keywords

generalized linear mixed modelspenalized splinessmoothing parameterforce of infectionprevalence data

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• SemiPar
• glimmix

Cites Work

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• Estimation from current-status data in continuous time
• Models for discrete longitudinal data.
• Modelling Forces of Infection by Using Monotone Local Polynomials
• The Analysis of Designed Experiments and Longitudinal Data by Using Smoothing Splines
• Semiparametric Regression
• Age-Specific Incidence and Prevalence: A Statistical Perspective

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