• Start date:
  • 14 June 2021
  • Duration:
  • 5 days
  • Working as:
  • PhD

Introduction
This course considers both theoretical backgrounds and practical aspects of modeling data with regression models. The focus is on linear and logistic regression models, although other models, like Poisson models or non linear regression models for continuous data will also be discussed.

Included topics are: simple linear regression, multiple linear regression, variance and covariance analysis (using a regression approach), adjustments for confounding, interaction, polynomial and other non linear regression models, logistic regression, goodness-of-fit, multivariate modeling, conditional logistic regression, generalized linear regression models, and the building of prediction models.

Course material
All study materials are supplied electronically only in the Boerhaave Learning Environment, and will be made available during the course. 

Prerequisites
Basic knowledge of statistics (equivalent to the Boerhaave course "Basic methods and reasoning in Biostatistics").

A computer / laptop with proper internet access for all participants is mandatory. All statistical methods are practiced, using SPSS (recommended software). Students should have access to latest version of SPSS. Using other software is possible, but no support will be provided for this during the course.

Teaching environment
The course consists of self-study lectures with video's, practical exercises and Q&A sessions with the teacher. See program. At the end of the day, solutions are discussed during a general session of approximately one hour.

Certificate of attendance
In order to obtain a proof of participation, all lectures and practical assignments should be completed, and the Q&A sessions with the teacher should be attended at the end of each course day. If you have participated in the full course, you will receive a certificate of attendance within two weeks. Students, should make an extra post-course assignment, which will be graded.  

Language
Course material and lecture video's are all in English. 

Target group
Master and PhD students in the bio-medical sciences.

Organizing committee

  MONDAY 14 JUNE 2021
10:00 Welcome / Introduction to course (attendance mandatory)
B.J.A. Mertens
10:30 Self-study / Lecture video's
13:00 Q&A session (attendance optional)
B.J.A. Mertens
13:30 Self-study / Practical assignments
16:30 Plenary discussion / Q&A (attendance mandatory)
B.J.A. Mertens
17:30  End of course day
  TUESDAY 15 JUNE 2021
10:00 Self-study / Lecture video's
13:00 Q&A session (attendance optional)
B.J.A. Mertens
13:30 Self-study / Practical assignments
16:30 Plenary discussion / Q&A (attendance mandatory)
B.J.A. Mertens
17:30 End of course day
  WEDNESDAY 16 JUNE 2021
10:00 Self-study / Lecture video's
13:00 Q&A session (attendance optional)
B.J.A. Mertens
13:30 Self-study / Practical assignments
16:30 Plenary discussion / Q&A (attendance mandatory)
B.J.A. Mertens
17:30 End of course day
  THURSDAY 17JUNE 2021
10:00 Self-study / Lecture video's
13:00 Q&A session (attendance optional)
B.J.A. Mertens
13:30 Self-study / Final assignment
16:30      Plenary discussion / Q&A (attendance mandatory)
B.J.A. Mertens
17:30 End of course day
              FRIDAY 18 JUNE 2021
10:00 Self-study / Lecture video's
13:00 Q&A session / Explanation Post-course Assignment  (attendance mandatory)
B.J.A. Mertens
13:30 Publication Post-Course Assignment  / End of course day
Dr. B.J.A. Mertens
Online
,
Regular course fee € 450,-
Reduced fee for employees & PhD students LUMC € 150,-
Students Leiden University* Free of charge
Students outside Leiden University € 75,-


* Participation is free of charge for bachelor or master students from the Leiden University.

  • When signing up as a student, please register with your student email address and submit your student number. Please be informed that we can ask you to e-mail us a scan of your student pass
  • Please note that a € 45,- cancellation fee will be charged to students who do not attend courses or who are too late cancelling their participation in the course