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Multistate and Multistage Models

In: Analysis of Repeated Measures Data

Author

Listed:
  • M. Ataharul Islam

    (University of Dhaka, Institute of Statistical Research and Training (ISRT))

  • Rafiqul I. Chowdhury

    (University of Dhaka, Institute of Statistical Research and Training (ISRT))

Abstract

The longitudinal data analysis generally involves the special challenges methodologically with censoring and repeated observations. A subject is followed longitudinally over time and change is recorded in status of the event. In longitudinal studies, generally data on time to occurrence of events may be either complete or incomplete. The partially incomplete data pose special type of challenge to statistical modeling and which has been a focus of research for a long time. In Chapter 16, multistate and multistage hazards models are described, estimation and test procedures are shown for repeated measures data. The techniques are illustrated with examples.

Suggested Citation

  • M. Ataharul Islam & Rafiqul I. Chowdhury, 2017. "Multistate and Multistage Models," Springer Books, in: Analysis of Repeated Measures Data, chapter 0, pages 191-212, Springer.
    • Handle: RePEc:spr:sprchp:978-981-10-3794-8_15
    DOI: 10.1007/978-981-10-3794-8_15
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