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Joint Modeling for Longitudinal and Interval-Censored Survival Data: Application to IMPI Multi-Center HIV/AIDS Clinical Trial

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Emerging Topics in Modeling Interval-Censored Survival Data

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Abstract

Joint models for longitudinal and survival data are a class of models that jointly analyze an outcome of interest repeatedly observed over time along with the associated event times. These models are useful in two practical applications; firstly focusing on survival outcome whilst accounting for time-varying covariates measured with error and secondly focusing on the longitudinal outcome while controlling for informative censoring. The joint modeling framework has mainly been focused on right-censored data in the survival outcome for the last decade. This chapter is then aimed to extend the classical joint modeling framework to interval-censored data using a cardiology multi-center clinical trial. We illustrate our approach using R statistical software.

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Acknowledgements

This work is based upon research supported by the South Africa National Research Foundation and South Africa Medical Research Council (South Africa DST-NRF-SAMRC SARChI Research Chair in Biostatistics, Grant number 114613). We thank the Mayosi Research Group, Department of Medicine, University of Cape Town for providing the data for the study. We further thank all participants who were recruited in the trial.

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Authors and Affiliations

  1. Department of Statistics, University of Pretoria, Pretoria, South Africa

    Ding-Geng Chen

  2. College of Health Solutions, Arizona State University, Phoenix, AZ, USA

    Ding-Geng Chen

  3. Department of Statistics, University of Pretoria, Pretoria, South Africa

    Isaac Singini

Authors
  1. Ding-Geng Chen
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  2. Isaac Singini
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Correspondence to Ding-Geng Chen .

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Editors and Affiliations

  1. Department of Statistics, University of Missouri, Columbia, MO, USA

    Jianguo Sun

  2. College of Health Solutions, Arizona State University, Goodyear, AZ, USA

    Ding-Geng Chen

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Chen, DG., Singini, I. (2022). Joint Modeling for Longitudinal and Interval-Censored Survival Data: Application to IMPI Multi-Center HIV/AIDS Clinical Trial. In: Sun, J., Chen, DG. (eds) Emerging Topics in Modeling Interval-Censored Survival Data. ICSA Book Series in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-031-12366-5_13

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