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Overview of Recent Advances on the Analysis of Interval-Censored Failure Time Data

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Emerging Topics in Modeling Interval-Censored Survival Data

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Abstract

As discussed by Dr. Finkelstein in Chap. 1, interval-censored failure time data are a general type of failure time or time-to-event data that often occur in many areas, including demographical studies, epidemiological studies, medical or public health research and social science. In contrast to the historic review of Chap. 1, this chapter will provide a brief review of some recent advances on several topics concerning the analysis of interval-censored data. These include the analysis of interval-censored data with time-dependent covariates, the presence of informative censoring, or the presence of a cured subgroup, respectively. Also it will cover the analysis of interval-censored data arising from case-cohort studies and the variable selection based on interval-censored data as well as the analysis of doubly interval-censored data.

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Authors and Affiliations

  1. School of Mathematics, Jilin University, Changchun, China

    Mingyue Du

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  1. Mingyue Du
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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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Du, M. (2022). Overview of Recent Advances on the Analysis of Interval-Censored Failure Time Data. 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_2

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