Event History Analysis

<p>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. <br><br><i>Event History Analysis</i>:<br><br> * makes didactically accessible the inclusion of covariates in semi-parametric and parametric regression models based upon concrete examples <br><br> * presents the unabbreviated close relationship underlying statistical theory <br><br> * details parameter-free methods of analysis of event-history data and the possibilities of their graphical presentation <br><br> * discusses specific problems of multi-state and multi-episode models <br><br> * introduces time-varying covariates and the question of unobserved population heterogeneity <br><br> * demonstrates through examples how to implement hypotheses tests and how to choose the right model.</p>