Logistic Regression [ESP66]
Course highlights
EC points
1.4
Start date
5-8-2024
End date
9-8-2024
Course days
Monday to Friday (5 full days)
Faculty
Prof. Stanley Lemeshow
Course fee
€ 1778
Location
Erasmus MC, Rotterdam NL
Level
Intermediate
Prerequisites
A first course in applied statistical methods including linear and multiple linear regression analysis.
Disciplines
- Biostatistics
Application
Go to the ESP websiteDownloads
Detailed information about this course:
Description
Faculty: Prof. Stanley Lemeshow, PhD
The aim of this course is to provide theoretical and practical training for biostatisticians, epidemiologists, medical researchers and professionals of related disciplines in statistical modeling with particular emphasis on logistic regression. The increasingly popular logistic regression model has become the standard method for regression analysis of binary, multinomial and ordinal response data in the health sciences. Students will become familiar with statistical software packages and the analysis of a real data sets.
Objectives
Upon successful completion of the course, students will have the knowledge, comprehension and/or skills to be able to:
- provide a focused introduction to the logistic regression model and its use in modeling the relationship between a categorical outcome variable and a set of covariates.
- provide guidelines for effective model building and interpreting the resulting of a fitted model within the context of the applied problem including determination of scale of continuous covariates.
- provide guidelines for assessing model performance.
- present a comprehensive discussion of the use of logistic regression modeling for multinomial and ordinal response data and matched case-control data.
Participant profile
Public health and medical researchers interested in understanding and implementing the analysis of data with nominal scale responses.
Assessment
Attendance
Reduction on fees
PLEASE NOTE: This does not apply to the fee of the research master programmes (120 EC points)
No fees are charged for Erasmus MC PhD candidates, provided they have an account in Hora Finita, the Erasmus University PhD registration system. When submitting the application, you can state that someone else pays your tuition fee.
In case of cancellation or no show, the cancellation policy applies based on the full course fee.
25% reduction for all (international) PhD candidates without formal appointment at Erasmus MC
Upon receipt of your application you will receive a request to upload proof of enrollment as a PhD candidate.