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Introducing Survival & Event Hist Analys

Introducing Survival Analysis and Event History Analysis is an accessible, practical and comprehensive guide for researchers and students;

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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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Survival and Event History Analysis

Event History Analysis edited by Niels Keiding and Per Kragh Andersen contains 96 articles written by over 60 distinguished authors. The;

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Event History and Survival Analysis

Drawing on recent "event history" analytical methods from biostatistics, engineering and sociology, this book explains how longitudinal;

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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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Event History Analysis With Stata

supplements Event History Analysis, by Blossfeld et al, and Techniques of Event History Modeling, by Blossfeld and Rohwer, extending on their coverage;

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Modeling Survival Data

This book is for statistical practitioners, particularly those who design and analyze studies for survival and event history data. Building;

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Event History Analysis

results. Event History Analysis: * makes didactically accessible the inclusion of covariates in semi-parametric and parametric regression;

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Event History Analysis: Statistical Theory and Application in the Social Sciences

results. Event History Analysis: * makes didactically accessible the inclusion of covariates in semi-parametric and parametric regression;

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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

Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals;

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Handbook of Survival Analysis

Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals;

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Event History Analysis With Stata

Nowadays, event history analysis can draw on a well-established set of statistical tools for the description and causal analysis of event;

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Event History Analysis With Stata

Nowadays, event history analysis can draw on a well-established set of statistical tools for the description and causal analysis of event;

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Interval-Censored Time-to-Event Data

use Monte Carlo simulation to assess biases in progression-free survival analysis as well as correct bias in interval-censored time-to-event;

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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 biostatisticssurvival analysis, systems engineering, and;

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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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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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Advanced Survival Models

experience the event of interest), competing risk models (in case of different types of event), and joint survival models for a time-to-event;

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Advanced Survival Models

experience the event of interest), competing risk models (in case of different types of event), and joint survival models for a time-to-event;

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Event History Modeling

Event History Modeling, first published in 2004, provides an accessible guide to event history analysis for researchers and advanced;

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Event History Modeling

Event History Modeling, first published in 2004, provides an accessible guide to event history analysis for researchers and advanced;

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Reliability and Risk

about reliability and survival analysis by casting them in the broader context of decision-making. This is achieved by: * Providing a broad;

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Time Series Analysis for the Social Sciences

Event History Modeling, first published in 2004, provides an accessible guide to event history analysis for researchers and advanced;

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Government Survival in Parliamentary Democracies

overall functioning of parliamentary democracies; it is also closely associated with the introduction to the discipline of event history analysis;

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