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Interval-Censored Time-to-Event Data

analysis, and other models for interval-censored data. The next part presents interval-censored methods for current status data, Bayesian;

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Truncated and Censored Samples

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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Truncated and Censored Samples

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 with Interval-Censored Data

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

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 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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Nonparametric Statistical Methods For Complete and Censored Data

methods for analyzing complete and censored data, the book covers optimal linear rank statistics, clinical equivalence, analysis of block designs;

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Nonparametric Statistical Methods For Complete and Censored Data

methods for analyzing complete and censored data, the book covers optimal linear rank statistics, clinical equivalence, analysis of block designs;

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Biostatistics and Computer-based Analysis of Health Data using R

explore basic and variable commands, sample comparisons, analysis of variance, epidemiological studies, and censored data. With;

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Statistical Models and Methods for Reliability and Survival Analysis

interested in statistical methodology and models useful in survival analysis, system reliability and statistical testing for censored and non;

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Analysis of Failure and Survival Data

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

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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Counting Processes and Survival Analysis

process methods and newer methods for graphical analysis and diagnostics of censored data. Exercises are included to provide practice in applying;

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Statistics for Environmental Science and Management

, and students. It also describes topics and techniques such as environmental monitoring, impact assessment, censored data, Monte Carlo risk;

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Nonparametric Tests for Censored Data

This book concerns testing hypotheses in non-parametric models. Generalizations of many non-parametric tests to the case of censored and;

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Survival Analysis Using S

analysis of left-truncated and right-censored data invaluable. The bootstrap procedure checks robustness of cut point analysis and determines cut;

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Empirical Likelihood Method in Survival Analysis

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 in Survival Analysis

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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Financial Econometrics

of truncated and censored samples - panel data analysis. This updated edition includes new chapters which cover limited dependent variables and;

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Financial Econometrics

of truncated and censored samples - panel data analysis. This updated edition includes new chapters which cover limited dependent variables and;

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Regression With Social Data

An accessible introduction to the use of regression analysis in the social sciences Regression with Social Data: Modeling Continuous and;

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Chi-squared Goodness-of-fit Tests for Censored Data

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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Multi-State Survival Models for Interval-Censored Data

Multi-State Survival Models for Interval-Censored Data introduces methods to describe stochastic processes that consist of transitions;

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