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CRC Press Dynamical Biostatistical Models - Biostatistics Series

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Description

Dynamical Biostatistical Models provides essential statistical methods for analyzing longitudinal data. This text focuses on models designed for repeated measures of both quantitative and qualitative variables, as well as event history analysis. It covers vital topics such as survival and multistate models to help researchers manage complex datasets. Readers can learn to apply advanced regression models that incorporate the time dimension. The content includes detailed explanations of mixed-effect models, survival models, multistate models, and joint models for repeated measures and time-to-event data. This book serves as a practical resource for those needing to implement these methods using SAS or R software, making it a valuable addition to the Chapman and Hall/CRC Biostatistics Series.

Key Features

Covers advanced regression models that include the time dimension for more accurate longitudinal data analysis.

Provides methods for analyzing repeated measures of both quantitative and qualitative variables.

Includes detailed instruction on survival and multistate models for event history analysis.

Supports practical application through methods compatible with SAS and R software.

Explains joint models designed specifically for repeated measures and time-to-event data.

Offers comprehensive coverage of mixed-effect models for complex biostatistical research.

Product Specifications

Format
hardcover
Domain
Amazon UK
Publication Date
02 October 2015
Listed Since
15 April 2015

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