Courses in Epidemiology

	Short Courses
	Epidemiology

Nihes organizes the following short courses - at introductory, intermediate and advances level - in epidemiology:

Demography of Ageing (ESP59)
Topics in Health and Diseases in the Elderly (ESP56)
Pharmaco-epidemiology (ESP21)
Pharmaco-epidemiology and Drug Safety (EWP03)
Epidemiology of Infectious Diseases (CE05)

Principles of Epidemiologic Data-analysis (EWP25) close

The course will present the basic precepts and the principles underlying the primary methods of epidemiologic data analysis. The aim of the course is for the participant to arrive at a coherent conceptualization of the core principles of epidemiologic data analysis. This is not a statistics course; there is no emphasis on proficiency in the execution and calculation of results or how to build mathematical models. The course begins with a discussion of the principles of epidemiologic data analysis, and then progresses to a discussion of precision and validity, placing a strong emphasis on a quantitative approach to analysis, using estimation, rather than a qualitative approach based on statistical significance testing. After covering the analysis of crude data, the focus shifts to the control of confounding using stratified analysis and multivariate models. Other topics that are covered include the analysis of matched data, the evaluation of interaction, the use of multivariate summary confounder scores (including propensity scores), imputation of missing data, sensitivity analysis, and the estimation of trends in effect. The class presentations will be supplemented with discussion of selected published papers and computer assignments using the Episheet spreadsheet to illustrate key analytic concepts. Course objectives: 1. Students will become conversant with the principles of estimation of epidemiologic measures from basic epidemiologic data. 2. Students will be able to explain and demonstrate the advantages of stratified analysis as a primary approach to epidemiologic data analysis, and to use a spreadsheet program to conduct basic epidemiologic analysis of stratified data, and to interpret the results. 3. Students will be able to describe a strategy for using regression models in epidemiologic data analysis, either using an outcome model or a model that serves as a confounder summary score. Important: Participants are requested to bring a laptop to the course. Recommended book: Epidemiology, An Introduction by KJ Rothman, Oxford University Press, ISBN-13:978-0195135541
Faculty:	Prof. Kenneth Rothman
Date:	Feb, 2011
Assessment	Written examination, date to be announced.
Location:	Erasmus University, Rotterdam, Woudestein campus
Course days:	Daily from 9.00 - 12.00 hrs
ECTS:	0.7 ECTS (assessment included)
Prerequisites:	A course on epidemiologic study design
Application code:	EWP25
How to apply?:	Via http://www.erasmuswinterprogramme.nl/.
Extensive course description:

Psychiatric Epidemiology (EP12)
Cancer Epidemiology (EP13)

These are just a few of the short courses on offer. For a complete overview, please see the course calendar.

Course calendar 2010-2011