Event History Analysis (Applied Social Research Methods)

Event history analysis has become a key technique for researchers and professionals in public health, sociology, labour economics, political science and organization studies. By focussing on applications, rather than formal presentations of methodology, Event History Analysis emphasizes 'hands-on' information, such as the use and misuse of samples, models and covariates in application, the structural arrangement of input data, the specification of various models in such computer programmes as SAS-LOGIST and SPSSX-LOGLNEAR, and the interpretation of parameters estimated from models. In addition, the book covers such important topics as missing data, hazard rate, Cox's partial likelihood model, survivor function and discrete-time logit models for both one-way and two-way transitions.