Regression Analysis 2022

Regression Analysis 2022
Doelgroep:
 
Organisatie:
LUMC - Boerhaave Nascholing
Locatie:
Combination ONLINE (self-study) and ON CAMPUS (LUMC). LUMC, Building: 1, Lecture hall 5 Parking and route map LUMC
Inlichtingen:
 
Accreditatie:
 
BELOW INFORMATION IS SUBJECT TO CHANGE; PENDING LUMC POLICY AND COVID MEASUREMENTS.

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"). Students are highly recommended to follow the Regression Analysis course, before proceeding with the more advanced ‘Analysis of Repeated Measurements’ course.

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 online self-study lectures with video's, practical exercises, and Q&A sessions with the teacher. At the end of the day, solutions are discussed during a general session of approximately one hour, on campus.

Certificate of attendance
In order to obtain a proof of participation, all lectures and practical assignments should be completed, and the plenary discussions should be attended at the end of each course day, on campus. 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


Locatie:

  • Combination ONLINE (self-study) and ON CAMPUS (LUMC). LUMC, Building: 1, Lecture hall 5 Parking and route map LUMC