단행본Quantitative applications in the social sciences 07-46
Event history and survival analysis
- 서명/저자사항
- Event history and survival analysis
- 판사항
- 2nd ed
- 발행사항
- Los Angeles : SAGE, 2014.
- 형태사항
- xvi, 93 p. : ill. ; 22cm.
- ISBN
- 9781412997706
- 주기사항
- First published in 1984 under the title: Event history analysis 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 Includes bibliographical references (p. 85-87) and index Introduction -- Discrete-time methods -- Parametric methods for continuous-time data -- Cox regression -- Multiple kinds of events -- Repeated events -- Conclusion
소장정보
| 위치 | 등록번호 | 청구기호 / 출력 | 상태 | 반납예정일 |
|---|---|---|---|---|
이용 가능 (1) | ||||
| 자료실 | WM021020 | 대출가능 | - | |
이용 가능 (1)
- 등록번호
- WM021020
- 상태/반납예정일
- 대출가능
- -
- 위치/청구기호(출력)
- 자료실
책 소개
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.
목차
Introduction -- Discrete-time methods -- Parametric methods for continuous-time data -- Cox regression -- Multiple kinds of events -- Repeated events -- Conclusion.