Multi-state Survival Models for Interval-censored Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multi-state Survival Models for Interval-censored Data write by Ardo van den Hout. This book was released on 2017. Multi-state Survival Models for Interval-censored Data available in PDF, EPUB and Kindle. 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
Multi-State Survival Models for Interval-Censored Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multi-State Survival Models for Interval-Censored Data write by Ardo van den Hout. This book was released on 2016-11-25. Multi-State Survival Models for Interval-Censored Data available in PDF, EPUB and Kindle. 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
Multi-State Survival Models for Interval-Censored Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multi-State Survival Models for Interval-Censored Data write by Ardo van den Hout. This book was released on 2016-11-25. Multi-State Survival Models for Interval-Censored Data available in PDF, EPUB and Kindle. 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.
Survival Analysis
Survival Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Survival Analysis write by John P. Klein. This book was released on 2013-06-29. Survival Analysis available in PDF, EPUB and Kindle. Making complex methods more accessible to applied researchers without an advanced mathematical background, the authors present the essence of new techniques available, as well as classical techniques, and apply them to data. Practical suggestions for implementing the various methods are set off in a series of practical notes at the end of each section, while technical details of the derivation of the techniques are sketched in the technical notes. This book will thus be useful for investigators who need to analyse censored or truncated life time data, and as a textbook for a graduate course in survival analysis, the only prerequisite being a standard course in statistical methodology.
Competing Risks and Multistate Models with R
Competing Risks and Multistate Models with R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Competing Risks and Multistate Models with R write by Jan Beyersmann. This book was released on 2011-11-18. Competing Risks and Multistate Models with R available in PDF, EPUB and Kindle. This book covers competing risks and multistate models, sometimes summarized as event history analysis. These models generalize the analysis of time to a single event (survival analysis) to analysing the timing of distinct terminal events (competing risks) and possible intermediate events (multistate models). Both R and multistate methods are promoted with a focus on nonparametric methods.
