Applied Logistic Regression

Kurs og kompetanseutvikling for helsepersonell , 12.03.2018-16.03.2018

We have booked professor Stanley Lemeshow to hold his course in logistic regression in Lillehammer. This is a wonderful opportunity to interact and learn from one of the leading teachers of medical statistics.


Auditorium at Innlandet Hospital Trust,
Anders Sandviksgate 17, 2609 Lillehammer

About the course

The aim of this course is to provide theoretical and practical in statistical modeling with particular emphasis on logistic regression analysis. The increasingly popular logistic regression model has become a standard method for regression analysis in the health sciences.

The course will be the same as he holds in Rotterdam each summer:


Stanley Lemeshow, Ph.D. Professor of Biostatistics, College of Public Health
The Ohio State University, Columbus, OH USA
More about Stan Lemeshow here:

All lecture notes will be handed out.

Additional reading

Applied Logistic Regression, 3rd Ed, Hosmer D, Lemeshow S and Sturdivant R. A Wiley-Interscience Publication, John Wiley & Sons Inc., New York, NY, 2013.

Computer Software

STATA (Version 14-15), Stata Corporation, College Station, Texas
We assume that participants bring their own computers preinstalled with Stata. We will provide free licenses for use during the course.

The computer exercises will be undertaken in the rooms adjacent to the lecture hall.

Course fee and registration

For participants not affiliated with the Innlandet Hospital Trust: NOK 7500.
Seats are limited and priority will be given to PhD students and Postdoctoral fellows.
Please register before February 15.

Partisipant from Sykehuset Innlandet registration here

Schedule Day 1

Lectures: 9:00 am-12:00 pm and 1:00 pm – 2:00 pm   
Computer Lab:  2:00 pm – 4:00 pm

HL&S = Applied Logistic Regression, Hosmer, Lemeshow & Sturdivant

Review of Basic Statistical Concepts Introduction (HL&S Ch 1)
Fitting the Logistic Regression Model The Multiple Logistic (HL&S Ch 1)
Regression Model (HL&S Ch 2)

Schedule Day 2  

Interpretation of coefficients (HL&S Ch 3)
The Multivariate Case: Statistical (HL&S Ch 3)
Adjustment Interaction and Confounding (HL&S Ch 3) 

Schedule Day 3  

Stratified Analysis via Logistic Regression (HL&S Ch 3)
Model Building Strategies (HL&S Ch 4)
Assessing the Scale of Continuous (HL&S Ch 4)
Covariates Numerical Problems (HL&S Ch 4)

Schedule Day 4  

Summary Measures of Goodness-of-Fit (HL&S Ch 5)
Area Under the ROC Curve (HL&S Ch 5)
Logistic Regression Diagnostics (HL&S Ch 5)
Multinomial Logistic Regression (HL&S Ch 8) 

Schedule Day 5

Ordinal Logistic Regression (HL&S Ch 8)
Conditional Logistic (HL&S Ch 7)
Regression ICU Example

Når og hvor

SI Lillehammer
Maternal and Child Research Group (MoBI) 
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