Conceptual Foundations of Epidemiologic Study Design and Analysis

Course content
Public health and clinical research goals depend heavily on an understanding of epidemiologic research methodology.
This course in epidemiologic methods aims to provide participants with insight into the principles and techniques used to produce and interpret epidemiologic data.
At the end of this course, participants will be able to apply a range of epidemiologic concepts to their research; to assess the reliability of published results; and to interpret the results.
The course primarily targets PhD and Postdoc candidates but will also be useful for senior researchers.

The course qualify for 2 (reading and participation, no exam) or 5 ECTS (reading, participation and exam)

Lecturers
Kenneth Rothman and Vera Ehrenstein

Reading list
Epidemiology: An Introduction, by KJ Rothman.
2 relevant journal articles will be circulated prior to the course.
Students are expected to have studied both book and articles prior to the course.

Dates 
20-22 April 2022

Detalied program 
Will be released closer to course dates.

Registration
Link for registration here: Registration is now closed. Course is full.
Note that there will be a maximum number of participants. If the course is overbooked, priority will be given to applicants who are affiliated with CISMAC, BCEPS, CIH or IGS at University of Bergen, Norwegian Research School of Global Health, the Norwegian Institute of Public health, Chr. Michelsens Institute and Innlandet Hospital Trust

Webinar series in preparation
In preparation for the course CISMAC will be hosting an online webinar series where we will be going through Kenneth Rothmans book: Epidemiology: An Introduction.
The following webinars are planned:

• Nov 24 (HS): Recap of webinar Nov 10 + Chapters 1, 2 and 3
• Dec 8 (HS): Chapter 4 (Measuring Disease Occurrence and Causal Effects)
• Dec 22(HS with JT/DM (Prevalence, Time-to-event analysis, Chapter 4: Causal effects)
• Jan 5 (TC and BS): Chapter 3 (recap) and Chapter 11 (Measuring Interactions)
• Jan 19 (CS): Chapter 5 (Types of Epidemiologic Studies)
• Feb 2 (EZP): Chapter 7 (Dealing with Biases)
• Feb 16 (MV): Chapter 8 (Random Error and the Role of Statistics)
• Mar 2 (RU&RC): Chapter 9 (Analyzing Simple Epidemiologic Data)
• Mar 16 (TBD): Chapter 10 (Controlling Confounding by Stratifying Data)
• Mar 30 (TBD): Chapter 12 (Using Regression Models in Epidemiologic Analysis)

Webinar Facilitators:
BS: Biresh Sinha
TC: Tarun Choudhary
MV: Mahima.Venkateswaran
HS: Halvor Sommerfelt
CS: Catherine Schwinger
RU: Ravi Upadhyay 
RC: Ranadip Chowdhury
EZP: Eleni Zoumpoulia Papadopoulou

Webinar support
JT: Josephine Tumuhamye
DM: David Mukunya

For more info on our webinars please see here.
To sign up for the webinars, please send an email to ane.straume@uib.no.