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semiparametric regression analysis of interval-censored data with monotone splines, Bayesian inferential models for interval-censored data, an estimator;
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Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical;
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Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical;
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Using real data sets throughout, Survival Analysis in Medicine and Genetics introduces the latest methods for analyzing high-dimensional;
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Using real data sets throughout, Survival Analysis in Medicine and Genetics introduces the latest methods for analyzing high-dimensional;
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Multi-State Survival Models for Interval-Censored Data introduces methods to describe stochastic processes that consist of transitions;
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Multi-State Survival Models for Interval-Censored Data introduces methods to describe stochastic processes that consist of transitions;
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, and interval-censored survival models Concepts are reinforced throughout with numerous chapter problems, exercises, and real data sets. Step;
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interested in statistical methodology and models useful in survival analysis, system reliability and statistical testing for censored and non;
Vergelijkbare producten zoals Statistical Models and Methods for Reliability and Survival Analysis
Analysis of Failure and Survival Data is an essential textbook for graduate-level students of survival analysis and reliability and a;
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Analysis of Failure and Survival Data is an essential textbook for graduate-level students of survival analysis and reliability and a;
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empirical likelihood method for right censored survival data. The author uses R for calculating empirical likelihood and includes many worked out;
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empirical likelihood method for right censored survival data. The author uses R for calculating empirical likelihood and includes many worked out;
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Survival Analysis Using S: Analysis of Time-to-Event Data is designed as a text for a one-semester or one-quarter course in survival;
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Processes and Survival Analysis explores the martingale approach to the statistical analysis of counting processes, with an emphasis on the;
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This book deals with the development of methodology for the analysis of truncated and censored sample data. It is primarily intended as a;
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This book deals with the development of methodology for the analysis of truncated and censored sample data. It is primarily intended as a;
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survival analysis problems. -Biometrics A thorough, unified treatment of statistical models and methods used in the analysis of lifetime data;
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analysis of censored data, the key main tests associated with the construction of a survival curve (log-rank test or Wilcoxon), and the Cox;
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with the basic concepts of survival analysis-time to an event as a variable, censored data, and the hazard function-the author then introduces;
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new developments since the introduction of the h-likelihood to survival analysis (methods for interval estimation of the individual frailty;
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This book is devoted to the problems of construction and application of chi-squared goodness-of-fit tests for complete and censored data;
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This volume is an accessible, data-based introduction to methods of survival analysis. Researchers who want to analyze survival data with;
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Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals;
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