GSMS Course Registration

Course information

Course: Epidemiology and Applied Statistics

Students will learn about the concepts, principles, and methods in epidemiology. The participants will familiarize themselves with study designs, methodological problems and statistical analyses. The skills learned in this course are of importance when conducting research and analyzing data as well as when evaluating research results and interpreting statistical output.

 

In the first week the student will become acquainted with the field of epidemiology and gain knowledge on research designs, measures of frequency and association. During this week a research question is formulated, for which data have to be analyzed during the course (students will work in pairs on a dataset that will be  provided during the course). Further, a start is made with the applied statistics (starting at a basic level with descriptive statistics, non-parametric and parametric tests, and correlations). All statistical analyses will be performed during practicals using SPSS.

 

In the second week the students will familiarize themselves with the concepts of confounding and effect modification. The more advanced statistical methods such as linear and logistic regression analysis and survival analysis are introduced and applied during practicals. All these techniques will be used to answer the research question. Students are given a personal grade based on the final  oral presentation of 10 minutes on the formulated research question (analyses, results, conclusion, discussion), followed by a general discussion.

 

Topics include :
• Study population
• Study designs (cross-sectional/ longitudinal, descriptive/ experimental, case-control/ cohort/ intervention)
• How to formulate a research question and to make it operational
• Measures of frequency: prevalence/ incidence, risk difference, population attributable risk
• Measures of effect: relative risk (RR), odds ratio (OR)

 

• Methodological problems: confounding and effect modification

 

• Descriptive statistics (plots, distribution, group differences)
• Associations (correlation, linear and logistic regressions, survival analysis)
• How to deal with confounding/effect modification in the analysis
• Deriving inferences (statistical significance, clinical relevance)

 

 

The course is every day from 09:00 - 13:00 hrs

Date

November 9–20, 2020

Time

09:00–13:00

EC (without exam)

3

Location address

to be announced

Course coordinator

  • Dr. J.M. (Judith) Vonk

Language

English

Target Groups

  • PhD students

Vacancies

fully booked

Deadline for registration

October 19, 2020

Registration

Register for the waiting list

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