Logistic Regression [ESP66]

Course highlights

EC points

1.4

Start date

09-08-2021

End date

13-08-2021

Course days

Monday to Friday (5 full days)

Faculty

Prof. Stanley Lemeshow

Course fee

€ 1660

Location

Online

Level

Intermediate

Prerequisites

A first course in applied statistical methods including linear and multiple linear regression analysis.

Disciplines

  • Biostatistics

Application

Go to the ESP website

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.


//Please note that the course information is subject to change and will be updated from time to time. We will do our utmost best to ensure the accuracy and reliability of the information on this website.//

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 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.

50% reduction on our fees for participating institutes of NIHES

This 50% reduction is offered to participants formally appointed at the departments or sections participating in NIHES.

University Medical Center Rotterdam/Erasmus University Rotterdam:

  • Department of Epidemiology
  • Department of Public Health
  • Department of Psychiatry, Section of Medical Psychology and Psychotherapy
  • Department of Child and Adolescent Psychiatry/Psychology
  • Department of Medical Informatics
  • Department of General Practice
  • Erasmus School of Health Policy & Management
  • Generation R

50% reduction on our fees for NIHES affiliated partners

This 50% reduction is offered to participants formally appointed at the following NIHES affiliated partners:

University Medical Center Rotterdam/Erasmus University Rotterdam, departments of:

  • Dermatology
  • General Paediatrics
  • Plastic and Reconstructive Surgery
  • Rehabilitation Medicine

UMIT, Department of Public Health, Health Services Research and Health Technology Assessment.

25% reduction on our fees for Erasmus MC employees

For participants formally appointed at all departments of Erasmus MC (except the departments mentioned above and Erasmus MC PhD candidates).

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.