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Analysis for Time-to-Event Data under Censoring and Truncation

, medical researchers, and actuaries who need to understand the mechanism of selection bias Reviews existing works on survival analysis for;

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Handbook of Survival Analysis

with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time. With chapters written by;

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Handbook of Survival Analysis

with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time. With chapters written by;

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Missing and Modified Data in Nonparametric Estimation

This book presents a systematic and unified approach for modern nonparametric treatment of missing and modified data via examples;

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Missing and Modified Data in Nonparametric Estimation

This book presents a systematic and unified approach for modern nonparametric treatment of missing and modified data via examples;

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Hybrid Censoring Models Methods & Apps

methodology, life-testing procedures, and lifetime data analysis provides only hybrid censoring schemes, with little information about hybrid;

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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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Design and Analysis of Clinical Trials with Time-To-Event Endpoints

, number of events, and independence or noninformativeness of the censoring mechanisms relative to the event. Design and Analysis of Clinical;

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Interval-Censored Time-to-Event Data

Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tools for;

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Flowgraph Models For Multistate Time-To-Event Data

Multistate Time--to--Event Data is an invaluable resource/reference for researchers in biostatistics/survival analysis, systems engineering, and;

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Recent Advances in Life-Testing and Reliability

contributed significantly to these two areas over the years. Chapters cover a wide range of topics such as inference under censoring and truncation;

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Recent Advances in Life-Testing and Reliability

contributed significantly to these two areas over the years. Chapters cover a wide range of topics such as inference under censoring and truncation;

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Using R for Introductory Econometrics

dependent variables: binary, count data, censoring, truncation, and sample selection Formatted reports and research papers combining ""R"" with ""R;

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A Domain-Driven Approach for Detecting Event Patterns in E-Markets

Event Processing concept and refer to an e-market as a distributed event-driven system, e-market transactions as events and data analysis tools;

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Event History Analysis With Stata

statistical program that provides tools for data analysis. The book emphasizes the usefulness of event history models for causal analysis in the;

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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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Joint Modeling of Longitudinal and Time-to-Event Data

variation. Joint modeling of longitudinal and time-to-event data has emerged as a novel approach to handle these issues. Joint Modeling;

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Joint Modeling of Longitudinal and Time-to-Event Data

variation. Joint modeling of longitudinal and time-to-event data has emerged as a novel approach to handle these issues. Joint Modeling;

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Modelling Survival Data in Medical Research

events and event history analysis. Earlier chapters are now expanded to include new material on a number of topics, including measures;

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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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Techniques Of Event History Modeling

; and *introduces the reader to the computer program Transition Data Analysis (TDA). This software estimates the sort of models most;

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Techniques of Event History Modeling

; and *introduces the reader to the computer program Transition Data Analysis (TDA). This software estimates the sort of models most;

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Analysis of Microdata

The availability of microdata has increased rapidly over the last decades, and standard statistical and econometric software packages for;

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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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Analysis of Multivariate Survival Data

Survival data or more general time-to-event data occur in many areas, including medicine, biology, engineering, economics, and demography;

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Event History Analysis with R

With an emphasis on social science applications, Event History Analysis with R, Second Edition, presents an introduction to survival and;

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