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Multi-State Survival Models for Interval-censored Data (Hardcover) (Ardo Van Den Hout)

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Multi-state models describe stochastic processes that consist of transitions between states over time, such as the three-state illness-death model. Interval-censored data is extremely common as the exact time of transition from one state to another is unknown—only an interval of time is known. This book shows how to study this type of data. Many examples using real data from the medical and social science literature illustrate the methods. R and WinBUGS code is also provided to implement the methods, with the code and data available for download online.

Number of Pages: 238
Genre: Mathematics
Sub-Genre: Probability + Statistics / General
Series Title: Monographs on Statistics & Applied Probability
Format: Hardcover
Publisher: Taylor & Francis
Author: Ardo Van Den Hout
Language: English
Street Date: January 17, 2017
TCIN: 17173712
UPC: 9781466568402
Item Number (DPCI): 247-02-7997
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