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Annual Review of Statistics and Its Application, 2014
Event history analysis deals with data obtained by observing individuals over time, focusing on events occurring for the individuals under observation. Important applications are to life events of humans in demography, life insurance mathematics, epidemiology, and sociology.
Blossfeld, Hans-Peter +1 more
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Event history analysis deals with data obtained by observing individuals over time, focusing on events occurring for the individuals under observation. Important applications are to life events of humans in demography, life insurance mathematics, epidemiology, and sociology.
Blossfeld, Hans-Peter +1 more
+6 more sources
2012
The purpose of event history analysis is to explain why certain individuals are at a higher risk of experiencing the event(s) of interest than others. This can be accomplished by using special types of methods which, depending on the field in which they are applied, are called failure-time models, life-time models, survival models, transition-rate ...
Tekle, F.B., Vermunt, J.K.
+5 more sources
The purpose of event history analysis is to explain why certain individuals are at a higher risk of experiencing the event(s) of interest than others. This can be accomplished by using special types of methods which, depending on the field in which they are applied, are called failure-time models, life-time models, survival models, transition-rate ...
Tekle, F.B., Vermunt, J.K.
+5 more sources
Journal of Social Service Research, 1992
This paper demonstrates the use of event history analysis and reports on the correlates of service outcomes for the HOMEBUlLDERS model of Intensive Family Preservation Services (IPPS). The paper focuses on the use of the proportional hazards model, the assumption of proportionality, methods for dealing with violations of proportionality, and ...
Mark W. Fraser +3 more
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This paper demonstrates the use of event history analysis and reports on the correlates of service outcomes for the HOMEBUlLDERS model of Intensive Family Preservation Services (IPPS). The paper focuses on the use of the proportional hazards model, the assumption of proportionality, methods for dealing with violations of proportionality, and ...
Mark W. Fraser +3 more
openaire +2 more sources
Sociological Methods & Research, 1995
Event histories are generated by so-called failure-time processes and take the following form. The dependent variable—for example, some social state—is discrete or continuous. Over time it evolves as follows. For finite periods of time (from one calendar date to another) it stays constant at a given value.
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Event histories are generated by so-called failure-time processes and take the following form. The dependent variable—for example, some social state—is discrete or continuous. Over time it evolves as follows. For finite periods of time (from one calendar date to another) it stays constant at a given value.
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Longitudinal perspectives on event history analysis
Lifetime Data Analysis, 2009We discuss event histories from the point of view of longitudinal data analysis, comparing several possible inferential objectives. We show that the Nelson-Aalen estimate of a cumulative intensity may be derived as a limiting solution to a sequence of generalized estimating equations for intermittently observed longitudinal count data.
Farewell DM, Henderson R
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2018
Dieses Kapitel fuhrt in die Klasse der Event-History-Verfahren ein, die allgemein zur Analyse von Transitionsprozessen verwendet werden. Es werden die Grundlagen dieser Methode erlautert und zentrale Begriffe wie Hazard-Rate, Risk-Set oder Zensierung besprochen.
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Dieses Kapitel fuhrt in die Klasse der Event-History-Verfahren ein, die allgemein zur Analyse von Transitionsprozessen verwendet werden. Es werden die Grundlagen dieser Methode erlautert und zentrale Begriffe wie Hazard-Rate, Risk-Set oder Zensierung besprochen.
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Adjusting for Attrition in Event-History Analysis
Sociological Methodology, 1997"This paper will investigate the issue of weighting for panel attrition in event-history models by comparing alternative treatments of sampling weights in a divorce model for members of the 1986 [U.S.] Survey of Income and Program Participation (SIPP). Three distinct weighting procedures are compared.
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