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: https://erasmussummerprogramme.nl/summer-programme-courses/?ct=ESP66&pg=Courses
Stanley Lemeshow, Ph.D. Professor of Biostatistics, College of Public Health
The Ohio State University, Columbus, OH USA
More about Stan Lemeshow here: https://cph.osu.edu/people/slemeshow
All lecture notes will be handed out.
Applied Logistic Regression, 3rd Ed, Hosmer D, Lemeshow S and Sturdivant R. A Wiley-Interscience Publication, John Wiley & Sons Inc., New York, NY, 2013.
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. Course ALR
Seats are limited and priority will be given to PhD students and Postdoctoral fellows.
Please register before February 15.
Partisipant from CISMAC and 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