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Event history and survival analysis /

Allison, Paul David. (1984.)

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Event history and survival analysis /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Event history and survival analysis // Paul D. Allison.
作者:	Allison, Paul D.
其他作者:	Allison, Paul David.
出版者:	Los Angeles :SAGE, : c2014.,
面頁冊數:	xvi, 93 p. :ill. ;22 cm.
附註:	First published in 1984 under the title: Event history analysis.
標題:	Event history analysis. -
ISBN:	9781412997706

Event history and survival analysis /
Allison, Paul D.

Event history and survival analysis /Paul D. Allison. - 2nd ed. - Los Angeles :SAGE,c2014. - xvi, 93 p. :ill. ;22 cm. - Quantitative applications in the social sciences ;series/number 07-46. - Quantitative applications in the social sciences ;no. 07-046..

First published in 1984 under the title: Event history analysis.

Includes bibliographical references (p. 85-87) and index.

Introduction --

Social scientists are interested in events and their causes. Although even histories are ideal for studying the causes of events, they typically possess two features--censoring and time-varying explanatory variables--that create major problems for standard statistical procedures. Several innovative approaches have been developed to accommodate these two peculiarities of event history data. This volume surveys these methods, concentrating on the approaches that are most useful to the social sciences. In particular, Paul D. Allison focuses on regression methods in which the occurrence of events is dependent on one or more explanatory variables. He gives attention to the statistical models that form the basis of event history analysis, and also to practical concerns such as data management, cost, and useful computer software.--From publisher's description.

ISBN: 9781412997706UK17.99

LCCN: 2015413041Subjects--Topical Terms:

565875
Event history analysis.

LC Class. No.: H61 / .A575 2014

Dewey Class. No.: 300.727

Event history and survival analysis /
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505 0 # $t Introduction -- $t Discrete-time methods -- $t Parametric methods for continuous-time data -- $t Cox regression -- $t Multiple kinds of events -- $t Repeated events -- $t Conclusion.
520 # $a Social scientists are interested in events and their causes. Although even histories are ideal for studying the causes of events, they typically possess two features--censoring and time-varying explanatory variables--that create major problems for standard statistical procedures. Several innovative approaches have been developed to accommodate these two peculiarities of event history data. This volume surveys these methods, concentrating on the approaches that are most useful to the social sciences. In particular, Paul D. Allison focuses on regression methods in which the occurrence of events is dependent on one or more explanatory variables. He gives attention to the statistical models that form the basis of event history analysis, and also to practical concerns such as data management, cost, and useful computer software.--From publisher's description.
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700 1 # $a Allison, Paul David. $t Event history analysis. $f 1984. $3 3224593
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