Search
   >> Home >> Resources & support >> Stata news >> Statistical methods for population-based cancer survival analysis

Statistical methods for population-based cancer survival analysis

Venue: Castello Brandolini Colomban
Cison di Valmarino
Treviso, Italy
Dates: June 18–22, 2012

Paul Dickman and Paul Lambert will hold a 5-day course on statistical methods for population-based cancer survival analysis in Treviso, Italy from June 18–22, 2012 as part of the annual Summer School on Modern Methods in Biostatistics and Epidemiology.

The course will address the principles, methods, and application of statistical methods in 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, and estimating crude probabilities of death. Comparison of alternative methodological approaches (for example, to estimating relative survival and to modeling relative survival) will be a focus of the course and participants will get the opportunity to apply and contrast a range of methods to real data.

A large amount of time will be devoted to exercise sessions where Dr. Lambert and Dr. Dickman, along with three other experienced faculty members, will be available to work with participants individually or in small groups. The exercise sessions will also provide an opportunity for participants to discuss their own research projects with the faculty (and with each other).

For more information, visit http://cansurv.net.

The Stata Blog: Not Elsewhere Classified Find us on Facebook Follow us on Twitter LinkedIn Google+ Watch us on YouTube