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Multi-state survival models for interval-censored data

By: Material type: TextTextSeries: Monographs on Statistics and Applied Probability (v. 152)Publication details: CRC Press 2017 Boca RatonDescription: xvii, 238 pISBN:
  • 9781466568402
Subject(s): DDC classification:
  • V2M8 519.2
Summary: Multi-State Survival Models for Interval-Censored Data introduces methods to describe stochastic processes that consist of transitions between states over time. It is targeted at researchers in medical statistics, epidemiology, demography, and social statistics. One of the applications in the book is a three-state process for dementia and survival in the older population. This process is described by an illness-death model with a dementia-free state, a dementia state, and a dead state. Statistical modelling of a multi-state process can investigate potential associations between the risk of moving to the next state and variables such as age, gender, or education. A model can also be used to predict the multi-state process. https://www.crcpress.com/Multi-State-Survival-Models-for-Interval-Censored-Data/Hout/p/book/9781466568402
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Item type Current library Item location Collection Shelving location Call number Status Date due Barcode
Books Vikram Sarabhai Library Rack 28-B / Slot 1401 (0 Floor, East Wing) Non-fiction General Stacks 519.2 V2M8 (Browse shelf(Opens below)) Available 193789

Table of Contents:

1. Introduction
2. Modelling Survival Data
3. Progressive Three-State Survival Model
4. General Multi-State Survival Model
5. Frailty Models
6. Bayesian Inference for Multi-State Survival Models
7. Redifual State-Specific Life Expectancy
8. Further Topics

Multi-State Survival Models for Interval-Censored Data introduces methods to describe stochastic processes that consist of transitions between states over time. It is targeted at researchers in medical statistics, epidemiology, demography, and social statistics. One of the applications in the book is a three-state process for dementia and survival in the older population. This process is described by an illness-death model with a dementia-free state, a dementia state, and a dead state. Statistical modelling of a multi-state process can investigate potential associations between the risk of moving to the next state and variables such as age, gender, or education. A model can also be used to predict the multi-state process.

https://www.crcpress.com/Multi-State-Survival-Models-for-Interval-Censored-Data/Hout/p/book/9781466568402

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