大葉大學圖書館 |

Event history modeling :a guide for social scientists /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	001.4/32
書名/作者:	Event history modeling : : a guide for social scientists // Janet M. Box-Steffensmeier, Bradford S. Jones.
作者:	Box-Steffensmeier, Janet M.,
其他作者:	Jones, Bradford S.,
面頁冊數:	1 online resource (xiii, 218 pages) : : digital, PDF file(s).
附註:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
標題:	Event history analysis - Computer simulation.
標題:	Social sciences - Methodology.
標題:	History - Methodology.
ISBN:	9780511790874 (ebook)
摘要、提要註:	Event History Modeling, first published in 2004, provides an accessible 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. 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.
電子資源:	http://dx.doi.org/10.1017/CBO9780511790874

Event history modeling :a guide for social scientists /
Box-Steffensmeier, Janet M.,1965-

Event history modeling :a guide for social scientists /Janet M. Box-Steffensmeier, Bradford S. Jones. - 1 online resource (xiii, 218 pages) :digital, PDF file(s). - Analytical methods for social research. - Analytical methods for social research..

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Event History Modeling, first published in 2004, provides an accessible 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. 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.

ISBN: 9780511790874 (ebook)Subjects--Topical Terms:

642630
Event history analysis
--Computer simulation.

LC Class. No.: H61 / .B6366 2004

Dewey Class. No.: 001.4/32

Event history modeling :a guide for social scientists /
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