Logistic Regression

This course provides theoretical and practical training for biostatisticians, epidemiologists 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.

Text:
Applied Logistic Regression, 2nd Ed,  Hosmer D, and Lemeshow S.

A Wiley-Interscience Publication, John Wiley & Sons Inc., New York, NY, 2000.

Notes:
A course booklet containing copies of the overhead transparencies used in the lectures, homework assignments and other material will be distributed on the first day of classes.

Objectives:

  • Students will learn methods of statistical modeling when the response variable is nominal, multinomial or ordinal scale.
  • Students will become familiar with statistical software packages for computing binary, multinomial, ordinal and conditional logistic regression models.

 

Course code:  ESP66

Faculty: Stanley Lemeshow

Date: August 27 – 31, 2012

Time: 08:45 – 16.00

Course days: Monday to Friday

Course material: Course material provided in hardcopy: no laptop required

Prerequisites:  Solid course on linear and multiple regression