16 June 2012
The course aim is to introduce statistical methods for survival analysis, that is, the analysis of studies where the outcome is a time-to-event. We will study methods for estimating patient survival (life table and Kaplan-Meier methods), comparing survival between patient subgroups (log-rank test), and modelling survival (primarily Poisson regression and the Cox proportional hazards model). Emphasis will be placed on describing how epidemiological cohort studies can be analysed in the framework of survival analysis. We will study the concept of 'time' as a potential confounder or effect modifier and discuss various approaches to defining 'time' (e.g., time since entry, attained age, calendar time). The course will emphasise the basic concepts of statistical modelling in epidemiology, such as controlling for confounding and assessing effect modification. The course will consist of lectures, classroom exercises, and computing exercises (using Stata®).
P. Dickman (Karolinska Institutet)
Physicians, clinicians and public health professionals from public and private institutions who are looking for systematic training in the principles of epidemiology and biostatistics, or epidemiology applied to health care planning and evaluation.
Students in biostatistics and epidemiology, and researchers both from public and private institutions who wish to increase their familiarity with quantitative methods or to deepen their knowledge of a specific area of interest.
The course aim is to introduce statistical methods for describing how epidemiological cohort studies can be analysed in the framework of survival analysis.
EUR 1150: For Students. Registration before 31 March 2012.
After 31 March 2012 €1,350.
EUR 1250: Registration before 31 March 2012.
After 31 March 2012 €1,450.
A limited number of Scholarships are available.
Scholarships cover the cost of tuition, for at most one week. Only registered students may apply. The request to be considered for a scholarship should be communicated no later than March 1, 2012.