Dr Sue Ingle (course organiser), Dr Margaret May, Prof Jonathan Sterne, Prof Kate Tilling
3 - 5 June 2013
By the end of the course students should:
Participants should have a knowledge of regression analyses and their implementation in Stata of at least the level achieved in the "Linear and Logistic Regression Models" short course. Familiarity with Stata is a pre-requisite for this course.
Definition of rates and relation between risks and rates; manipulating person-time data in Stata using the st commands; analysis of rates using Mantel-Haenszel methods and Poisson regression; splitting follow up time to allow for exposures that change with time; introduction to survival analysis; log rank tests and Cox proportional hazards regression; graphical displays for survival analysis; Cox models with continuously time-varying covariates; parametric regression using the Weibull and other distributions; analysis of competing risks data using cumulative incidence function and an adapted version of the Cox regression model.
The teaching time is approximately 18 hours.
Lectures followed by computer practicals using Stata. Group work for interpretation of literature.
For those planning to attend other Departmental statistics courses we would recommend a copy of: Kirkwood BR, Sterne JAC, Essential Medical Statitsics, 2nd ed. Oxford: Blackwell Science 2003 - but it is not compulsory for this course.
An Introduction to Survival Analysis Using Stata, 3rd edition. Mario Cleeves, William Gould, Roberto Gutierrez, Yulia Marchenko. Stata Press 2010
Survival Analysis and Epidemiological Tables Reference Manual. Stata Press 2011.
Collett D. Modelling Survival Data in Medical Research. 2nd Edition. Chapman and Hall 2003. Clayton D. and Hills M. Statistical Models in Epidemiology. Oxford University Press 1993.
Please bring a scientific calculator with you.
For further information please contact firstname.lastname@example.org