23 June 2012
Statistical methods for population-based cancer survival analysis
The course will cover central concepts, such as how to estimate and model relative survival, as well as recent methodological developments including cure models, flexible parametric models, estimation in the presence of competing risks, and methods for analysing data with missing covariates. Comparison of alternative methodological approaches (e.g., to estimating relative survival and to modelling relative survival) will will be a focus of the course and participants will get the opportunity to apply and contrast a range of methods to real data. The course will consist primarily of lectures and hands-on computing sessions with a focus on individual instruction and discussion. Click here for further details of the course content.
P. Dickman (Karolinska Institutet) & P. Lambert (University of Leicester and 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 covers central concepts, such as how to estimate and model relative survival, cure models, flexible parametric models, estimation in the presence of competing risks, and methods for analysing data with missing covariates.
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.