PERG and the Department of Political Science invite you to this 3-days methods workshop.
Register to attend here - Priority will be given to the PhD students of DSPS and MA students of Political Science.
ABSTRACT / In event history analysis (and survival analysis, which is the name used mostly in bio sciences, where the methods were first applied) we are interested in time intervals between successive state transitions or events. Typical examples are: duration of unemployment, duration of marriage, recidivism in criminology, duration of political systems, time from diagnosis to death, and so on. The most distinctive feature of time to event data is that the event is often not observed at the time of analysis. Applying standard statistical methods to such data leads to severe bias or loss of information. Special methods are therefore needed to extract information which we are used to get using standard methods (formally this means estimating the distribution function and incorporate predictive variables into such estimation). Further complications arise when covariates change in time, when times between recurring events are correlated, when there are competing risks, or when effects change in time. In this course we will thoroughly study a situation when there is only one event per subject but will also review the extensions to a sufficient degree for students to be able to continue their work in the area. Roughly one quarter of the time will be devoted to practical exercises, for which the package R will be used. Students will receive a short introductory material to the package before workshop begins. While it is impossible to avoid all formulas, I will focus on the concepts in my lectures, but will support the lectures with more rigorous written material. Please note that a good knowledge of R as well as a solid background on statistics in general and regression analysis in particular, is assumed.
BIO / JANEZ STARE GRADUATED FROM THE FACULTY OF MATHEMATICS, UNIVERSITY OF LJUBLJANA, THEN GAINED A MASTER'S DEGREE AND PHD IN BIOSTATISTICS FROM THE UNIVERSITY OF LJUBLJANA'S FACULTY OF MEDICINE.HE IS FULL PROFESSOR OF BIOSTATISTICS, FORMER HEAD OF THE INSTITUTE OF BIOSTATISTICS AND MEDICAL INFORMATICS, FACULTY OF MEDICINE, LJUBLJANA, AND HEAD OF THE DOCTORAL PROGRAMME IN STATISTICS AT UNIVERSITY OF LJUBLJANA. HIS RESEARCH INTERESTS ARE EXPLAINED VARIATION IN SURVIVAL ANALYSIS, PREDICTIVE ABILITY OF REGRESSION MODELS IN SURVIVAL ANALYSIS, FRAILTIES, RANDOM EFFECTS IN SURVIVAL MODELS, RELATIVE SURVIVAL, GOODNESS OF FIT OF REGRESSION MODELS, AND SCIENTOMETRICS.