5 day course

5 day course «Applied Logistic Regression»

Monday, 2019/03/11 - Friday, 2019/03/15

Prof. Stanley Lemeshow

We are pleased to announce the 5day-course Applied Logistic Regression by Stanley Lemeshow and Ben Spycher taking place March 11-15, 2019 here in Bern. This course provides theoretical and practical training on the popular logistic regression model, which has become the standard analytical method for use with a categorical response variable. This is a hands-on, applied course where students will become proficient at using computer software (Stata or R) to analyze data drawn from the fields of medicine, epidemiology, and public health.

Event organizer: ISPM Bern/SSPH+ PhD Program in Public Health
Speaker: Prof. Stanley Lemeshow, PhD, MSPH Professor, The Ohio State University Columbus, USA & PD Dr. Ben Spycher, PhD, University of Bern
Date: 2019/03/11 - 2019/03/15
Time: 09:00 Time
Locality: 304
University Bern
Mittelstrasse 43
3000 Bern
Registration: Hier Anmelden
Characteristics: open to the public
chargeable

This course provides theoretical and practical training on the popular logistic regression model, which has become the standard analytical method for use with a categorical response variable. This is a hands-on, applied course where students will become proficient at using computer software (Stata or R) to analyze data drawn from the fields of medicine, epidemiology, and public health.

By the end of this course, students should:

  • Master methods of statistical modeling when the response variable is binary.
  • Be confident users of Stata or R computing binary logistic regression models.

PhD students and Epidemiologists and professionals in public health, medicine, and related disciplines that utilize statistical modeling.

This course includes lectures as well as many practical examples, exercises and homework. Exercises will use the Stata software package. Access to Stata will be provided at no cost for the duration of this course. Support will also be provided for R users. On the first day, Mon 11, we will review basic statistical concepts and linear regression (taught by PD Dr. Ben Spycher, ISPM Bern).

  • SSPH+ PhD Students 30.- CHF (processing fee)
  • PPHS PhD Students 30.- CHF (processing fee)
  • External MD/PhD Students 600.- CHF
  • External Academics 1700. - CHF
  • Other Participants 2500. - CHF

(The cost scheme depends on the Number of ECTS. Per ECTS participants are asked to pay 300,- CHF, 850,- CHF or 1250,-CHF, respectively)

2 ECTS

Preparation work: 8 h; Contact: 5x5 h; Computer lab: 5x2 h; home-work during the course: 5 h
(1 ECTS corresponds to appr. 25-30 hours workload)