This 2004 book provides a guide to event history analysis for researchers and advanced students in the social sciences. The authors explain the foundational principles of event-history analysis, and analyse numerous examples. They also discuss common problems encountered with time-to-event data, along with suggestions for implementing duration modeling methods.
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Janet Box-Steffensmeier is Vernal Riffe Professor of Political Science at Ohio State University. Chair of the R. H. Durr Award Committee for the best paper applying quantitative methods to a substantive issue that was presented at the 2002 Annual Meeting of the Midwest Political Science Association, 2002–3. Vice President and member of the Executive Committee of the Political Methodology Section of the American Political Science Association, 2003–5.
Bradford S. Jones is an Associate Professor of Political Science at the University of Arizona. He has served as a Section Officer for the Society for Political Methodology as well as serving as a guest editor for a special issue of Political Analysis on causal inference. His research on methodology includes work on reliability analysis, duration modeling, and models for categorical data. Professor Jones received his Ph.D. from the State University of New York at Stony Brook. Apart from methodology, Professor Jones' research interests include racial and ethnic politics, public opinion, and representation.
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Librería: Book House in Dinkytown, IOBA, Minneapolis, MN, Estados Unidos de America
Hardcover. Condición: Good+. Binding slightly compromised at front end, pages may become loose without careful use, otherwise binding is tight, sturdy, and square; text also very good; edgewear to pictorial boards is very minor. NOT an ex-library copy, NO remainder mark. Ships from Dinkytown in Minneapolis, Minnesota. Nº de ref. del artículo: 259393
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Librería: Prior Books Ltd, Cheltenham, Reino Unido
Hardcover. Condición: Very Good. First Edition. A firm and square hardback with sharp corners and strong joints, but please note: no dustjacket present, hence a non-text page has a small 'damaged' stamp. Despite such this book is actually in better than very good condition. Thus the contents are crisp, fresh and tight; no pen-marks. Now offered for sale at a very sensible price. Nº de ref. del artículo: 121704
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Librería: BennettBooksLtd, San Diego, NV, Estados Unidos de America
hardcover. Condición: New. In shrink wrap. Looks like an interesting title! Nº de ref. del artículo: Q-0521837677
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Librería: Revaluation Books, Exeter, Reino Unido
Hardcover. Condición: Brand New. 1st edition. 232 pages. 9.00x6.00x0.75 inches. In Stock. This item is printed on demand. Nº de ref. del artículo: __0521837677
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Hardcover. Condición: new. Hardcover. Event History Modeling provides an accessible, up-to-date guide to event history analysis for researchers and advanced students in the social sciences. The substantive focus of many social science research problems leads directly to the consideration of duration models, and many problems would be better analyzed by using these longitudinal methods to take into account not only whether the event happened, but when. The foundational principles of event history analysis are discussed and ample examples are estimated and interpreted using standard statistical packages, such as STATA and S-Plus. Recent and critical innovations in diagnostics are discussed, including testing the proportional hazards assumption, identifying outliers, and assessing model fit. The treatment of complicated events includes coverage of unobserved heterogeneity, repeated events, and competing risks models. The authors point out common problems in the analysis of time-to-event data in the social sciences and make recommendations regarding the implementation of duration modeling methods. Here is an accessible, up-to-date guide to event history analysis for researchers and advanced students in the social sciences. The foundational principles of event history analysis are discussed and ample examples are estimated and interpreted using standard statistical packages, such as STATA and S-Plus. Recent and critical innovations in diagnostics are discussed, including testing the proportional hazards assumption, identifying outliers, and assessing model fit. The treatment of complicated events includes coverage of unobserved heterogeneity, repeated events, and competing risks models. The authors point out common problems in the analysis of time-to-event data in the social sciences and make recommendations regarding the implementation of duration modeling methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780521837675
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Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Librería: AussieBookSeller, Truganina, VIC, Australia
Hardcover. Condición: new. Hardcover. Event History Modeling provides an accessible, up-to-date guide to event history analysis for researchers and advanced students in the social sciences. The substantive focus of many social science research problems leads directly to the consideration of duration models, and many problems would be better analyzed by using these longitudinal methods to take into account not only whether the event happened, but when. The foundational principles of event history analysis are discussed and ample examples are estimated and interpreted using standard statistical packages, such as STATA and S-Plus. Recent and critical innovations in diagnostics are discussed, including testing the proportional hazards assumption, identifying outliers, and assessing model fit. The treatment of complicated events includes coverage of unobserved heterogeneity, repeated events, and competing risks models. The authors point out common problems in the analysis of time-to-event data in the social sciences and make recommendations regarding the implementation of duration modeling methods. Here is an accessible, up-to-date guide to event history analysis for researchers and advanced students in the social sciences. The foundational principles of event history analysis are discussed and ample examples are estimated and interpreted using standard statistical packages, such as STATA and S-Plus. Recent and critical innovations in diagnostics are discussed, including testing the proportional hazards assumption, identifying outliers, and assessing model fit. The treatment of complicated events includes coverage of unobserved heterogeneity, repeated events, and competing risks models. The authors point out common problems in the analysis of time-to-event data in the social sciences and make recommendations regarding the implementation of duration modeling methods. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9780521837675
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