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Joint Modeling of Longitudinal and Time-to-Event Data

  • Format
  • Bog, paperback
  • Engelsk

Beskrivelse

Longitudinal studies often incur several problems that challenge standard statistical methods for data analysis. These problems include non-ignorable missing data in longitudinal measurements of one or more response variables, informative observation times of longitudinal data, and survival analysis with intermittently measured time-dependent covariates that are subject to measurement error and/or substantial biological variation. Joint modeling of longitudinal and time-to-event data has emerged as a novel approach to handle these issues.

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.

This book serves as a reference book for scientific investigators who need to analyze longitudinal and/or survival data, as well as researchers developing methodology in this field. It may also be used as a textbook for a graduate level course in biostatistics or statistics.

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Detaljer
  • SprogEngelsk
  • Sidetal241
  • Udgivelsesdato30-06-2020
  • ISBN139780367570576
  • Forlag Chapman & Hall/CRC
  • FormatPaperback
Størrelse og vægt
  • Vægt453 g
  • coffee cup img
    10 cm
    book img
    15,6 cm
    23,4 cm

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