Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina GrĂ¼n, Edzer Pebesma & Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Lexis: An R Class for Epidemiological Studies with Long-Term Follow-Up | Plummer | Journal of Statistical Software
Authors: Martyn Plummer, Bendix Carstensen
Title: Lexis: An R Class for Epidemiological Studies with Long-Term Follow-Up
Abstract: The Lexis class in the R package Epi provides an object-based framework for managing follow-up time on multiple time scales, which is an important feature of prospective epidemiological studies with long duration. Follow-up time may be split either into fixed time bands, or on individual event times and the split data may be used in Poisson regression models that account for the evolution of disease risk on multiple time scales. The summary and plot methods for Lexis objects allow inspection of the follow-up times.

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Paper: Lexis: An R Class for Epidemiological Studies with Long-Term Follow-Up     Download PDF (Downloads: 5559)
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Epi_1.1.20.tar.gz: R source package Download (Downloads: 1201; 899KB)
v38i05.R: R example code from the paper Download (Downloads: 1257; 5KB)

DOI: 10.18637/jss.v038.i05

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