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Event History Analysis
- Kazuo Yamaguchi - University of Chicago
Volume:
28
Series:
Applied Social Research Methods
Applied Social Research Methods
Other Titles in:
Quantitative/Statistical Research | Social Research Methods | Sociological Research Methods
Quantitative/Statistical Research | Social Research Methods | Sociological Research Methods
182 pages | SAGE Publications, Inc
This book provides a systematic introduction to models, methods and applications of event history analysis. Yamaguchi emphasizes 'hands on' information, including the use and misuse of samples, models and covariates in applications, the structural arrangement of input data, the specification of various models in such computer programs as SAS-LOGIST and SPSSX-LOGLINEAR, and the interpretation of parameters estimated from models. The book also explores such significant topics as missing data, hazard rate, Cox's partial likelihood model, survivor function, and discrete-time logit models.
Introduction
Discrete Time-Logit Model
Discrete Time-Logit Model
Log-Rate Models for Piecewise Constant Rates
Continuous-Time Models with Cox's Method
Continuous-Time Models with Cox's Method
Final Remarks Before Getting One's Own Research Started