Flexible Parametric Estimation Of Duration And Competing Risk Models PDF Download

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Flexible Parametric Survival Analysis Using Stata

Flexible Parametric Survival Analysis Using Stata
Author: Patrick Royston
Publisher: Stata Press
Total Pages: 0
Release: 2011-08-04
Genre: Mathematics
ISBN: 9781597180795

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Through real-world case studies, this book shows how to use Stata to estimate a class of flexible parametric survival models. It discusses the modeling of time-dependent and continuous covariates and looks at how relative survival can be used to measure mortality associated with a particular disease when the cause of death has not been recorded. The book describes simple quantification of differences between any two covariate patterns through calculation of time-dependent hazard ratios, hazard differences, and survival differences.


Competing Risks and Multistate Models with R

Competing Risks and Multistate Models with R
Author: Jan Beyersmann
Publisher: Springer Science & Business Media
Total Pages: 249
Release: 2011-11-18
Genre: Mathematics
ISBN: 1461420350

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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.


The Frailty Model

The Frailty Model
Author: Luc Duchateau
Publisher: Springer Science & Business Media
Total Pages: 329
Release: 2007-10-23
Genre: Mathematics
ISBN: 038772835X

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Readers will find in the pages of this book a treatment of the statistical analysis of clustered survival data. Such data are encountered in many scientific disciplines including human and veterinary medicine, biology, epidemiology, public health and demography. A typical example is the time to death in cancer patients, with patients clustered in hospitals. Frailty models provide a powerful tool to analyze clustered survival data. In this book different methods based on the frailty model are described and it is demonstrated how they can be used to analyze clustered survival data. All programs used for these examples are available on the Springer website.


Risk Models and Their Estimation

Risk Models and Their Estimation
Author: Stephen G. Kellison
Publisher: ACTEX Publications
Total Pages: 1150
Release: 2011
Genre: Business & Economics
ISBN: 1566987709

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Much of actuarial science deals with the analysis and management of financial risk. In this text we address the topic of loss models, traditionally called risk theory by actuaries, including the estimation of such models from sample data. The theory of survival models is addressed in other texts, including the ACTEX work entitled Models for Quantifying Risk which might be considered a companion text to this one. In Risk Models and Their Estimation we consider as well the estimation of survival models, in both tabular and parametric form, from sample data. This text is a valuable reference for those preparing for Exam C of the Society of Actuaries and Exam 4 of the Casualty Actuarial Society. A separate solutions' manual with detailed solutions to the text exercises is also available.


Encyclopedia of Quantitative Risk Analysis and Assessment

Encyclopedia of Quantitative Risk Analysis and Assessment
Author:
Publisher: John Wiley & Sons
Total Pages: 2163
Release: 2008-09-02
Genre: Mathematics
ISBN: 0470035498

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Leading the way in this field, the Encyclopedia of Quantitative Risk Analysis and Assessment is the first publication to offer a modern, comprehensive and in-depth resource to the huge variety of disciplines involved. A truly international work, its coverage ranges across risk issues pertinent to life scientists, engineers, policy makers, healthcare professionals, the finance industry, the military and practising statisticians. Drawing on the expertise of world-renowned authors and editors in this field this title provides up-to-date material on drug safety, investment theory, public policy applications, transportation safety, public perception of risk, epidemiological risk, national defence and security, critical infrastructure, and program management. This major publication is easily accessible for all those involved in the field of risk assessment and analysis. For ease-of-use it is available in print and online.


Experimental and Quantitative Methods in Contemporary Economics

Experimental and Quantitative Methods in Contemporary Economics
Author: Kesra Nermend
Publisher: Springer Nature
Total Pages: 379
Release: 2019-10-12
Genre: Business & Economics
ISBN: 3030302512

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Contemporary economists, when analyzing economic behavior of people, need to use the diversity of research methods and modern ways of discovering knowledge. The increasing popularity of using economic experiments requires the use of IT tools and quantitative methods that facilitate the analysis of the research material obtained as a result of the experiments and the formulation of correct conclusions. This proceedings volume presents problems in contemporary economics and provides innovative solutions using a range of quantitative and experimental tools. Featuring selected contributions presented at the 2018 Computational Methods in Experimental Economics Conference (CMEE 2018), this book provides a modern economic perspective on such important issues as: sustainable development, consumption, production, national wealth, the silver economy, behavioral finance, economic and non-economic factors determining the behavior of household members, consumer preferences, social campaigns, and neuromarketing. International case studies are also offered.