Handbook for the Master's Programmes in Demography - SUDA
Handbook for the Master's Programmes in Demography - SUDA
Handbook for the Master's Programmes in Demography - SUDA
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<strong>in</strong>dividually and collectively. Various methods <strong>for</strong> study<strong>in</strong>g human habitats and urban environmental<br />
impacts will be compared.<br />
Department of Statistics<br />
Analysis of survival data with demographic applications<br />
7.5 ECTS credits<br />
The course offers an <strong>in</strong>troduction <strong>in</strong>to statistical methods <strong>for</strong> <strong>the</strong> analysis of time-to event data with<br />
s<strong>in</strong>gle and multiple causes of failure. Both statistical <strong>the</strong>ory and empirical applications us<strong>in</strong>g relevant<br />
statistical packages are discussed. Topics covered <strong>in</strong>clude such basic concepts like Censor<strong>in</strong>g,<br />
Functions of Survival time and <strong>the</strong>ir nonparametric and parametric estimation and comparison (Lifetable,<br />
Kaplan-Meier, Nelsen-Aalen methods; Log-Rank & related tests; as well as <strong>the</strong>oretical<br />
distributions like <strong>the</strong> Weibull, exponential, log-normal and gamma); Models of Regression type -<br />
Proportional Hazards models, Parametric Models <strong>for</strong> <strong>the</strong> survival time, Log-L<strong>in</strong>ear hazard models <strong>for</strong><br />
grouped survival data as well as logistic regression <strong>for</strong> dichotomous outcome variable – and overview<br />
to advanced topics like multilevel model<strong>in</strong>g, unobserved heterogeneity, and selection biases. The<br />
course is exam<strong>in</strong>ed through a take-home exam <strong>in</strong> comb<strong>in</strong>ation with some weekly<br />
assignments/exercises.
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