Data Analysis with Competing Risks and Intermediate States (Chapman & Hall/CRC Biostatistics Series)

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Book Description

This practical book helps biomedical and epidemiological researchers extend their knowledge and skills in the analysis of standard time-to-event data to the competing risks setting. The author explains the main concepts that play a role in competing risks analyses, including the independence assumption with respect to censoring and truncation, cause-specific cumulative incidence, and competing risks as the simplest form of a multi-state model. Analyses can be performed using the survival R package.

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Book Details

Title: Data Analysis with Competing Risks and Intermediate States (Chapman & Hall/CRC Biostatistics Series)

Author:

Length: 272 Pages

Language: English

Publication Date: 2015-08-15

ISBN-10: 1466570350

ISBN-13: 9781466570351

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