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Event History Analysis in Continuous Time

2001
Event history data are obtained by observing individuals over time, focusing on times of occurrence of certain events and the types of event occurring. A review is given of event history analysis (in continuous time) based on multistate models. Examples of such models include the two-state model for survival data and the competing risks and disability ...
Andersen, Per Kragh, Keiding, Niels
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Event History Analysis in Demography

1993
Abstract This book provides a review of the techniques of event history analysis in demography. During the 1970s, the amount of reliable data made available as a result of surveys increased enormously. At the same time, statistical and computational techniques developed to allow the new data to be handled.
Daniel Courgeau, Leliévre Éva
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Event History Analysis With Stata

2007
Blossfeld, Hans-Peter   +2 more
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Event History Analysis with R

2018
Preface Event History and Survival Data Introduction Survival Data Right Censoring Left Truncation Time Scales Event History Data More Data Sets Single Sample Data Introduction Continuous Time Model Descriptions Discrete Time Models Nonparametric Estimators Doing it in R Cox Regression Introduction Proportional Hazards The Log-Rank Test Proportional ...
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The Logic of Event History Analysis

2004
The lexicon of event history analysis stems from its historical roots in biostatistics. Terms like “death,” “failure,” and “termination” are natural for analyses of medical survival data, but may seem awkward for social science analysis. In the context of medical research, survival data usually consist of longitudinal records indicating the duration of
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Additive hazard regression of event history studies with intermittently measured covariates

Canadian Journal of Statistics, 2022
Xiaowei Sun   +2 more
exaly  

Event History Analysis.

Journal of the American Statistical Association, 1993
Vicki A. Freedman   +2 more
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Event History Analysis

2015
Richard J. Cook, Jerald F. Lawless
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