| 000 | 00000nam u2200205 a 4500 | |
| 001 | 000046072426 | |
| 005 | 20210304120315 | |
| 008 | 210303r20161989enka b 001 0 eng d | |
| 020 | ▼a 9781138969179 (pbk.) | |
| 020 | ▼a 9780805801262 (hbk.) | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 050 | 0 0 | ▼a H61 ▼b .B49 1989 |
| 082 | 0 4 | ▼a 001.4/3 ▼2 23 |
| 084 | ▼a 001.43 ▼2 DDCK | |
| 090 | ▼a 001.43 ▼b B656e | |
| 100 | 1 | ▼a Blossfeld, Hans-Peter. |
| 245 | 1 0 | ▼a Event history analysis : ▼b statistical theory and application in the social sciences / ▼c Hans-Peter Blossfeld, Alfred Hamerle, Karl Ulrich Mayer. |
| 260 | ▼a London : ▼b Routledge, ▼c 2016. | |
| 300 | ▼a 297 p. : ▼b ill. ; ▼c 23 cm. | |
| 500 | ▼a Reprint. Originally published : Hillsdale, N.J. : L. Erlbaum Associates, 1989. | |
| 504 | ▼a Includes bibliographical references and index. | |
| 650 | 0 | ▼a Event history analysis. |
| 700 | 1 | ▼a Hamerle, Alfred, ▼d 1947-. |
| 700 | 1 | ▼a Mayer, Karl Ulrich. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고6층/ | 청구기호 001.43 B656e | 등록번호 111844703 (1회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
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.
Event History Analysis:
* makes didactically accessible the inclusion of covariates in semi-parametric and parametric regression models based upon concrete examples
* presents the unabbreviated close relationship underlying statistical theory
* details parameter-free methods of analysis of event-history data and the possibilities of their graphical presentation
* discusses specific problems of multi-state and multi-episode models
* introduces time-varying covariates and the question of unobserved population heterogeneity
* demonstrates, through examples, how to implement hypotheses tests and how to choose the right model.
정보제공 :
목차
Contents: Foreword. Aim and Structure of the Book. Domains and Rationale for the Application of Event History Analysis. The Statistical Theory of Event History Analysis. Data Organization and Descriptive Methods. Semi-Parametric Regression Models: The Cox Proportional Hazards Model. Parametric Regression Models. Appendices: List of Variable Names Used in Examples. Listing of the FORTRAN Program PR3FUN Written by Trond Petersen. Listing of the FORTRAN Program for Episode Splitting Given Discrete Time-Dependent Covariates. Listing of the FORTRAN Program for Episode Splitting Given Continuous Time-Dependent Covariates. Listing of the GLIM Macros to Estimate the Weibull and Log-Logistic Models of Roger and Peacock.