Details

Subject(s)

• Longitudinal method [Browse]

Author

• Li, Gang [Browse]
• Li, Ning [Browse]

Series

• Monographs on statistics and applied probability (Series) ; 151. [More in this series]
• Monographs on Statistics and Applied Probability ; 151

Summary note

Joint Modeling of Longitudinal and Time-to-Event Data provides a systematic introduction and review of state-of-the-art statistical methodology in this active research field. The methods are illustrated by real data examples from a wide range of clinical research topics. A collection of data sets and software for practical implementation of the joint modeling methodologies are available through the book website.

Notes

A Chapman and Hall book.

Bibliographic references

Includes bibliographical references and index.

Source of description

Description based on online resource; title from PDF title page (ebrary, viewed October 18, 2016).

Contents

• 1. Introduction and examples
• 2. Methods for longitudinal measurements with ignorable missing data
• 3. Methods for time-to-event data
• 4. Overview of joint models for longitudinal and time-to- event data
• 5. Joint models for longitudinal data and continuous event times from competing risks
• 6. Joint models for multivariate longitudinal and survival data
• 7. Further topics.

Show 4 more Contents items

ISBN

• 1-4398-0783-3
• 1-315-37487-0
• 1-315-35718-6
• 9781315374871

OCLC

960210085

Doi

10.1201/9781315374871

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