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Empirical Likelihood Method in Survival Analysis

Add the Empirical Likelihood to Your Nonparametric Toolbox Empirical Likelihood Method in Survival Analysis explains how to use the;

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Empirical Likelihood Method in Survival Analysis

Add the Empirical Likelihood to Your Nonparametric Toolbox Empirical Likelihood Method in Survival Analysis explains how to use the;

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Empirical Likelihood

treatment of this method for constructing confidence regions and testing hypotheses. The author applies empirical likelihood to a range of problems;

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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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Meta-analysis of Binary Data Using Profile Likelihood

Providing reliable information on an intervention effect, meta-analysis is a powerful statistical tool for analyzing and combining results;

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Meta-analysis of Binary Data Using Profile Likelihood

Providing reliable information on an intervention effect, meta-analysis is a powerful statistical tool for analyzing and combining results;

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Multivariate Survival Analysis and Competing Risks

inference, and non- and semi-parametric methods. There are many books covering survival analysis, but very few that cover the multivariate case;

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Multivariate Survival Analysis and Competing Risks

inference, and non- and semi-parametric methods. There are many books covering survival analysis, but very few that cover the multivariate case;

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Empirical Likelihood Methods in Biomedicine and Health

Empirical Likelihood Methods in Biomedicine and Health provides a compendium of nonparametric likelihood statistical techniques in the;

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Empirical Likelihood Methods in Biomedicine and Health

Empirical Likelihood Methods in Biomedicine and Health provides a compendium of nonparametric likelihood statistical techniques in the;

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Analysis of Survival Data with Dependent Censoring

This book introduces readers to copula-based statistical methods for analyzing survival data involving dependent censoring. Primarily;

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Econometric Applications of Maximum Likelihood Methods

The advent of electronic computing permits the empirical analysis of economic models of far greater subtlety and rigour than before, when;

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Analysis of Failure and Survival Data

, found to be the best performing method when a Cox proportional hazards method is not appropriate. Applying the theories of survival analysis;

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Analysis of Failure and Survival Data

best performing method when a Cox proportional hazards method is not appropriate. Applying the theories of survival analysis and reliability;

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Survival Analysis

A concise summary of the statistical methods used in the analysis of survival data with censoring. Emphasizes recently developed;

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Empirical Likelihood and Quantile Methods for Time Series

error. This is the first book to consider the generalized empirical likelihood applied to time series models in frequency domain and also the;

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In All Likelihood

Based on a course in the theory of statistics this text concentrates on what can be achieved using the likelihood/Fisherian method;

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Statistical Models

sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, simulation and Markov chain;

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Statistical Models

sections on survival analysis, missing data, Markov chains, Markov random fields, point processes, graphical models, simulation and Markov chain;

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Likelihood & Bayesian Inference

This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology. Firstly, it;

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Likelihood and Bayesian Inference

This richly illustrated textbook covers modern statistical methods with applications in medicine, epidemiology and biology. Firstly, it;

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Survival trees - a new method in innovation theory

This book deals with survival trees and their application to the analysis and prediction of innovation diffusion processes. Three major;

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Survival Analysis

techniques. Readers will learn how to perform analysis of survival data by following numerous empirical illustrations in SAS. Survival Analysis;

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Survival Analysis in Medicine and Genetics

Using real data sets throughout, Survival Analysis in Medicine and Genetics introduces the latest methods for analyzing high-dimensional;

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Survival Analysis in Medicine and Genetics

Using real data sets throughout, Survival Analysis in Medicine and Genetics introduces the latest methods for analyzing high-dimensional;

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Survival Models and Data Analysis

Survival analysis deals with the distribution of life times, essentially the times from an initiating event such as birth or the start of a;

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Survival Models and Data Analysis

Survival analysis deals with the distribution of life times, essentially the times from an initiating event such as birth or the start of a;

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