Conceptual Foundations of Epidemiologic Study Design and Analysis
This course in epidemiologic methods aims to provide participants, particularly within the field of maternal and child health, with insight into advanced principles and techniques used to produce and interpret complex epidemiologic data.
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.
Kenneth Rothman and Vera Ehrenstein
Epidemiology: An Introduction, by KJ Rothman.
3-5 relevant journal articles will be circulated prior to the course.
Students are expected to have studied both book and articles prior to the course.
Part of training component
The course is part of training component in the PhD program at the Faculty of Medicine and recommended for candidates associated with CISMAC's graduate school.
The course qualify for 2 (reading and participation, no exam) or 5 ECTS (reading, participation and exam)
20-22 April 2022
Will be released closer to course dates.
Link for registration will be available shortly.
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, 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)
BS: Biresh Sinha
TC: Tarun Choudhary
HS: Halvor Sommerfelt
CS: Catherine Schwinger
RU: Ravi Upadhyay
RC: Ranadip Chowdhury
EZP: Eleni Zoumpoulia Papadopoulou
JT: Josephine Tumuhamye
DM: David Mukunya