General

Multi-State Survival Models for Interval-Censored Data

Name: Multi-State Survival Models for Interval-Censored Data
Brand: Chapman and Hall/CRC
SKU: 9780367570569
Price: 8286.00 INR
Availability: InStock
ISBN: 9780367570569

Contributor(s): van den Hout, Ardo Author Format: Paperback

Paperback · ISBN 9780367570569

₹8,286

Inclusive of GST and other taxes

100% Quality Assurance

No Account Creation Required

Fast Delivery

Secured Transactions

Arriving at your doorstep in 10-15 days

Our logisitcs team will make sure everyitem is delivered safely

Key Specifications

ISBN	9780367570569
Publisher	Chapman and Hall/CRC
Publication date	June 2020
Language	English
MRP	£58.99 GBP
Page count	258
Item weight	81 g

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.

The methods are for longitudinal data subject to interval censoring. Depending on the definition of a state, it is possible that the time of the transition into a state is not observed exactly. However, when longitudinal data are available the transition time may be known to lie in the time interval defined by two successive observations. Such an interval-censored observation scheme can be taken into account in the statistical inference.

Multi-state modelling is an elegant combination of statistical inference and the theory of stochastic processes. Multi-State Survival Models for Interval-Censored Data shows that the statistical modelling is versatile and allows for a wide range of applications.

Multi-State Survival Models for Interval-Censored Data

Key Specifications

van den Hout, Ardo Author

Related titles