Logistic Regression [ESP66]
Monday to Friday (5 full days)
Prof. Stanley Lemeshow
Erasmus MC, Rotterdam NL
A first course in applied statistical methods including linear and multiple linear regression analysis.
Detailed information about this course:
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.
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.
Public health and medical researchers interested in understanding and implementing the analysis of data with nominal scale responses.
Reduction on fees
PLEASE NOTE THIS DOES NOT APPLY TO THE RESEARCH MASTERS (120 EC points)
No fees are charged for participation of Erasmus MC PhD candidates
Please note that in case of cancellation or no show, the cancellation policy applies based on the full course fee.
25% reduction for all (international) PhD students without formal appointment at Erasmus MC
Upon receipt of your application you will receive a request to upload proof of enrollment as a PhD student.