V30/ENG: Regression analysis

This course is a follow-up of the course Principles of epidemiological data analyses (V20) In that course a few statistical techniques such as the independent t-test and the chi-square test were introduced. In this course, the knowledge will be extended with regression techniques, such a linear regression, logistic regression and Cox regression. Most attention is given to the choice for an appropriate method, the interpretation of the results and the common theme behind the different methods.

In 2018 there isn't a English course!

For the Dutch version of this course Click here

Date:
City:
Amsterdam
Course coordinator:
Prof. J.W.R. Twisk, PhD
Language:
English
Learning method:
Lectures. groupwork, computerpractical
Examination:
Written exam and SPSS exam
Examination dates:
See schedule at 'Tentamens'
Number of EC:
5
  • Faculty
    Prof. Jos W.R. Twisk, PhD
    Professor of Applied Biostatistics
    Department of Epidemiology & Biostatistics. VU University Medical Center, Amsterdam and Department of Health Sciences, VU University, Amsterdam

    Professor Jos Twisk is head of the expertise center for applied longitudinal data analysis and he wrote textbooks for applied longitudinal data analysis, multilevel analysis and an introduction to applied biostatistics. Furthermore, he (co)-authored more than 400 international peer reviewed papers.

    Marieke ter Wee, MSc
    Department of Epidemiology & Biostatistics. VU University Medical Center, Amsterdam


  • Content

    Day 1 and 2
    • the analysis of continuous outcome variables

    • comparison between two groups
    • comparison between more than two groups

    • linear regression analysis
    • linearity of the relationship with a continuous independent variable

    • linear regression analysis with a skewed distributed outcome variable

    • confounding and effect modification.

    Day 3 and 4
    • the analysis of dichotomous outcome variables

    • comparison between two groups
    • comparison between more than two groups
    • logistic regression analysis
    • linearity of the relationship with a continuous independent variable
    • confounding and effect modification.

    Day 4 and 5
    • the analysis of survival data

    • comparison between two groups (Kaplan Meier curves)
    • comparison between more than two groups
    • Cox regression analysis
    • linearity of the relationship with a continuous independent variable
    • confounding and effect modification.

    • proportional hazards assumption.

    Day 6
    • multiple regression analysis: association and prediction models.

    Day 7
    • the quality of prediction models
    • pitfalls within regression analysis.

  • Learning objectives

    1. The student understands the basic principles of the different regression techniques and knows when a particular technique should be used.
    2. The student knows how to interpret the regression coefficients of the different regression techniques.
    3. The student knows how to adjust for potential confounders and how to investigate effect modification.
    4. The student knows how to investigate whether or not a particular relationship is linear.
    5. The student knows the difference between association and prediction models and knows in which situation a particular model should be used.
    6. The student knows the potential pitfalls that can occur within multiple regression analyses.
    7. The student can perform the different regression techniques within SPSS.

  • Pre requisites and target group

    Pre requisitis.

    The student who wants to attend this course should have some basic knowledge of statistics

    Target group

    The course is designed for researchers who work or planning to work with regression analysis. It is an applied course, so the mathematics behind the different techniques is not discussed in detail.
  • Course material

    On the first day of the course you will receive a course pack containing copies of all lecture presentations, assignments, and feedback on these assignments.

    Literature

    All books on regression analysis will provide some interesting information.

    Twisk JWR. Inleiding in de toegepaste Biostatistiek. 3e druk. Maarssen: Reed business. 2014. ISBN 97 890 352 36387 (in Dutch).

  • Exam

    Participants who take this course can complete the course with an exam. The exam will be in English. Only when you pass the exam you get a certificate showing the credits (study points/EC). Otherwise you will get a certificate only for attending the course.


    Anyone who wants to participate in the examination should apply at least four weeks before the exam to register via the website: https://epidm.nl/nl/tentamens/

  • Accreditation points

    Only for Dutch students!
    If you wish to be considered for accreditation points connected to this course, you must sign the attendance list on the last day of the course.

    To qualify for the accreditation points, you must have been present throughout the course.

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