EpiCap: Advanced Epidemiology
The course 鈥淎dvanced Epidemiology鈥 will be given by Professor Matthew Fox and supported by EpiCap co-facilitators who will lead its hands-on analysis exercises.
This advanced course in Epidemiology is arranged by the in collaboration with the of the Centre for Intervention Science in maternal and Child Health (CISMAC).
The course will be given by and supported by EpiCap
co-facilitators who will lead its hands-on analysis exercises.
Course Content
Introductory and intermediate courses in epidemiological methods teach students the concepts needed to begin a career conducting valid epidemiological research; however, these courses typically only briefly cover the causal models that should underlie the design of valid epidemiological studies. We will use these models as a jumping-off point to begin rethinking what we have already learned and to go further in our understanding of basic concepts of measures of effect, confounding, selection and misclassification bias. From there, we will begin to address the implications of various sources of bias in our studies and we will work through novel methods and approaches for doing more than simply speculating about them We will then explore the basic statistics used in epidemiological research and correct misunderstandings about what they can tell us. The course will also encompass group work with computer analysis exercises (using Stata庐 or R) that will enable the participants to apply the principles taught. It will also include discussions of conceptual and computational aspects of relevance to causal inference.
Where will the course be held: Chennai, India
When will the course be held: 16-24 January 2025
Target group for the course: Postdoctoral researchers and advanced doctoral level students
Application deadline: 15 November at 19:29 ECT (23:59 India time)