Event History Analysis

Serving as both a student textbook and a professional reference/handbook, this volume explores the statistical methods of examining time intervals between successive state transitions or events. Examples include: survival rates of patients in medical studies, unemployment periods in economic studies, or the period of time it takes a criminal to break the law after his release in a criminological study. The authors illustrate the entire research path required in the application of event-history analysis, from the initial problems of recording event-oriented data to the specific questions of data organization, to the concrete application of available program packages and the interpretation of the obtained results. Event History Analysis: * makes didactically accessible the inclusion of covariates in semi-parametric and parametric regression models based upon concrete examples * presents the unabbreviated close relationship underlying statistical theory * details parameter-free methods of analysis of event-history data and the possibilities of their graphical presentation * discusses specific problems of multi-state and multi-episode models * introduces time-varying covariates and the question of unobserved population heterogeneity * demonstrates, through examples, how to implement hypotheses tests and how to choose the right model.

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

Health, Fitness & Dieting

Blossfeld, Hans-Peter

Hamerle, Alfred

Mayer, Karl Ulrich

Psychology & Counseling

Lawrence Erlbaum Associates, Inc.

Serving as both a student textbook and a professional reference/handbook, this volume explores the statistical methods of examining time intervals between successive state transitions or events. Examples include: survival rates of patients in medical studies, unemployment periods in economic studies, or the period of time it takes a criminal to break the law after his release in a criminological study. The authors illustrate the entire research path required in the application of event-history analysis, from the initial problems of recording event-oriented data to the specific questions of data organization, to the concrete application of available program packages and the interpretation of the obtained results.   Event History Analysis:  * makes didactically accessible the inclusion of covariates in semi-parametric and parametric regression models based upon concrete examples   * presents the unabbreviated close relationship underlying statistical theory   * details parameter-free methods of analysis of event-history data and the possibilities of their graphical presentation   * discusses specific problems of multi-state and multi-episode models   * introduces time-varying covariates and the question of unobserved population heterogeneity   * demonstrates, through examples, how to implement hypotheses tests and how to choose the right model.

Psychology Press

Mathematik: Einführung für Wirtschafts- und Sozialwissenschaftler (German Edition)

Science & Math

Kemeny, Peter

Mathematics

De Gruyter Oldenbourg

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