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Frailty Models in Survival Analysis

individuals. Frailty Models in Survival Analysis presents a comprehensive overview of the fundamental approaches in the area of frailty models. The;

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Frailty Model

Readers will find in the pages of this book a treatment of the statistical analysis of clustered survival data. Such data are encountered;

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Advanced Survival Models

Survival data analysis is a very broad field of statistics, encompassing a large variety of methods used in a wide range of applications;

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Advanced Survival Models

Survival data analysis is a very broad field of statistics, encompassing a large variety of methods used in a wide range of applications;

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Multivariate Survival Analysis and Competing Risks

Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It;

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Multivariate Survival Analysis and Competing Risks

Multivariate Survival Analysis and Competing Risks introduces univariate survival analysis and extends it to the multivariate case. It;

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Introducing Survival & Event Hist Analys

Introducing Survival Analysis and Event History Analysis is an accessible, practical and comprehensive guide for researchers and students;

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Statistical Modelling of Survival Data with Random Effects

new developments since the introduction of the h-likelihood to survival analysis (methods for interval estimation of the individual frailty;

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An Introduction to Survival Analysis Using Stata, Revised Third Edition

An Introduction to Survival Analysis Using Stata, Revised Third Edition is the ideal tutorial for professional data analysts who want to;

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Modelling Survival Data in Medical Research

Modelling Survival Data in Medical Research describes the modelling approach to the analysis of survival data using a wide range;

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Data Analysis Using Hierarchical Generalized Linear Models with R

advanced statistical modelling including generalized linear models with random effects, survival analysis and frailty models, multivariate HGLMs;

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Data Analysis Using Hierarchical Generalized Linear Models with R

advanced statistical modelling including generalized linear models with random effects, survival analysis and frailty models, multivariate HGLMs;

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Statistical Modelling in Biostatistics and Bioinformatics

coverage of the material falls squarely into the following categories: (a) Survival analysis and multivariate survival analysis, (b) Time series;

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Statistical Modelling in Biostatistics and Bioinformatics

coverage of the material falls squarely into the following categories: (a) Survival analysis and multivariate survival analysis, (b) Time series;

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Generalized Linear Models with Random Effects

explores a wide range of applications, including combining information over trials (meta-analysis), analysis of frailty models for survival data;

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Lifetime Data Statistical Models & Metho

This book is meant for postgraduate modules that cover lifetime data in reliability and survival analysis as taught in statistics;

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Mechanism of Aging & Mortality

individual health state, susceptibility to diseases and death, or physical frailty on changes in late age survival are also investigated.;

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Statistical Models and Methods for Reliability and Survival Analysis

Statistical Models and Methods for Reliability and Survival Analysis brings together contributions by specialists in statistical theory as;

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Mixed Effects Models for Complex Data

and frailty models, joint models of survival and longitudinal data, robust methods for mixed effects models, marginal generalized estimating;

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Mixed Effects Models for Complex Data

and frailty models, joint models of survival and longitudinal data, robust methods for mixed effects models, marginal generalized estimating;

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Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life

Parametric and semiparametric models are tools with a wide range of applications to reliability, survival analysis, and quality of life;

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Survival Analysis

Survival analysis concerns sequential occurrences of events governed by probabilistic laws. Recent decades have witnessed many;

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Dynamic Prediction in Clinical Survival Analysis

Survival Analysis focuses on dynamic models for the remaining lifetime at later points in time, for instance using landmark models. Designed to;

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Applied Survival Analysis

Survival Analysis, Second Edition provides a comprehensive and up-to-date introduction to regression modeling for time-to-event data in medical;

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Survival Analysis Using the Sas System

Easy to read and comprehensive, Survival Analysis Using SAS: A Practical Guide, Second Edition, by Paul D. Allison, is an accessible, data;

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Living with Frailty

Increasingly, we question 'what makes us healthy?', as well as 'what makes us ill?'. What does this shift mean for frailty? Almost wholly;

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Living with Frailty

Increasingly, we question 'what makes us healthy?', as well as 'what makes us ill?'. What does this shift mean for frailty? Almost wholly;

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