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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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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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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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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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Regression With Social Data

, and interval-censored survival models Concepts are reinforced throughout with numerous chapter problems, exercises, and real data sets. Step;

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Analyzing Time Interval Data

Philipp Meisen introduces a model, a query language, and a similarity measure enabling users to analyze time interval data. The introduced;

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Statistical Models and Methods for Lifetime Data

models Treatment of interval-censored and truncated data Multivariate lifetimes and event history models Resampling and simulation methodology;

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Survival and Event History Analysis

presentation progresses to the additive hazard model and recurrent event data. Stochastic processes are also used as natural models for individual;

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

Using time-to-event analysis methodology requires careful definition of the event, censored observation, provision of adequate follow-up;

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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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Survival Analysis Using S

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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Duration Calculus

A comprehensive introduction to interval logic and duration calculus for modelling, analysing and verifying real-time systems. The Duration;

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Flowgraph Models For Multistate Time-To-Event Data

flowgraph models for time--to--event data. It clearly shows how this innovative new methodology can be used to analyze data from semi--Markov;

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Nonparametric Methods in Statistics with SAS Applications

apply nonparametric techniques to statistical data. It starts with the tests of hypotheses and moves on to regression modeling, time-to-event;

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Nonparametric Methods In Statistics With Sas Applications

apply nonparametric techniques to statistical data. It starts with the tests of hypotheses and moves on to regression modeling, time-to-event;

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Targeted Learning

time-to-event outcomes, direct and indirect effects, positivity violations, case-control studies, censored data, longitudinal data, and genomic;

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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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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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Nonparametric Analysis of Bivariate Censored Data

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Analysis of Censored Data

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Nonparametric Analysis of Bivariate Censored Data

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Building EventDriven Microservices Leveraging Organizational Data at Scale

rethink how your organization delivers value by unlocking near-real-time access to data at scale. You'll learn: How to leverage event-driven;

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Nonparametric Statistical Methods For Complete and Censored Data

Complete and Censored Data introduces commonly used non-parametric methods for complete data and extends those methods to right censored data;

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