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Statistische Modellierung von Verlaufsdaten in der Analyse sozialer Probleme: T. 2: Datenauswertung

Statistical modeling of process data in the analysis of social problems: part 2: data evaluation
[journal article]

Ludwig-Mayerhofer, Wolfgang

Abstract

'Die Arbeit baut auf dem einführenden Artikel zur Verlaufsdatenanalyse auf, der im vorangegangenen Heft dieser Zeitschrift erschienen ist. Sie stellt verschiedene Möglichkeiten vor, Hazardfunktionen und die Einflüsse von Kovariaten auf diese zu analysieren. Nach non-parametrischen und semi-parametri... view more

'Die Arbeit baut auf dem einführenden Artikel zur Verlaufsdatenanalyse auf, der im vorangegangenen Heft dieser Zeitschrift erschienen ist. Sie stellt verschiedene Möglichkeiten vor, Hazardfunktionen und die Einflüsse von Kovariaten auf diese zu analysieren. Nach non-parametrischen und semi-parametrischen Analyseverfahren werden ausführlich Modelle der parametrischen Analyse diskutiert, welche die Veränderlichkeit der Hazardfunktion in der Zeit berücksichtigen können. Ferner werden Modelle für diskrete Verweildauern, zeitveränderliche Kovariaten, mehrere Zielzustände und wiederholte Ereignisse erörtert. Alle Modelle werden anhand eines Beispiels aus dem Sozio-ökonomischen Panel (SOEP) erläutert.' (Autorenreferat)... view less


'This paper resumes the discussion from an introductory article on event history analysis ('survival analysis', 'analysis of failure times') which appeared in the first part of this volume. It describes various approaches to the analysis of hazard functions and the assessment of the influence of cov... view more

'This paper resumes the discussion from an introductory article on event history analysis ('survival analysis', 'analysis of failure times') which appeared in the first part of this volume. It describes various approaches to the analysis of hazard functions and the assessment of the influence of covariates. After introductory remarks on non-parametric and semi-parametric estimation, an extensive discussion covers parametric models which may take into account variation of the hazard function over time. In addition, models for discrete time hazard functions, time-dependent covariates, competing risks, and repeated events are treated. All models are illustrated by an example from the German Socio-Economic Panel (SOEP).' (author's abstract)|... view less

Keywords
statistical analysis; longitudinal study; data; process analysis

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Method
documentation

Document language
German

Publication Year
1994

Page/Pages
p. 229-263

Journal
Soziale Probleme, 5 (1994) 1/2

Status
Published Version; peer reviewed

Licence
Deposit Licence - No Redistribution, No Modifications


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Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.