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Lexis: An R Class for Epidemiological Studies with Long-Term Follow-Up

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  • Plummer, Martyn
  • Carstensen, Bendix

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.

Suggested Citation

  • Plummer, Martyn & Carstensen, Bendix, 2011. "Lexis: An R Class for Epidemiological Studies with Long-Term Follow-Up," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 38(i05).
    • Handle: RePEc:jss:jstsof:v:038:i05
    DOI: http://hdl.handle.net/10.18637/jss.v038.i05
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    Cited by:

    1. Tommi Härkänen & Anna But & Jari Haukka, 2017. "Non-parametric Bayesian Intensity Model: Exploring Time-to-Event Data on Two Time Scales," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 44(3), pages 798-814, September.
    2. repec:jss:jstsof:38:i01 is not listed on IDEAS
    3. repec:jss:jstsof:38:i06 is not listed on IDEAS

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