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Applied Logistic Regression
Course
en
English
16 h
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- Self-paced
- Free Access
- Free certificate
- 8 Sequences
- Introductive Level
Course details
Syllabus
Week One
- Logistic Regression Analysis
- Fitting the Logistic Model
Week Two
- The Likelihood Ratio Test
- Finding a Confidence Interval for β and π
- The Multiple Logistic Regression Model
- Fitting the Multiple Logistic Regression Model
Week Three
- Confidence Intervals for β, the Logit, and π
- Interpretation of Coefficients
- Dichotomous Independent Variables
Week Four
- Polychotomous Independent Variables
- Continuous Independent Variables
Week Five
- Statistical Adjustment
- Interaction and Confounding
Week Six
- Estimating Odd Ratios in the Presence of Interaction
- The 2X2 Table - Stratified Analysis vs Logistic Regression
- Assessing the Fit of the Logistic Regression Model
Week Seven
- Summary Measures of Goodness-of-Fit
- Area Under the ROC Curve
Week Eight
- R-squared-type Measures
- Numerical Problems
- Estimating the Mortality of ICU Patients
Prerequisite
None.
Instructors
- Stanley Lemeshow - College of Public Health
Editor
The Ohio State University is one of the largest universities in the United States. It's also home to a diverse group of the best and brightest people in the world: dedicated faculty, passionate students, and innovative researchers who make Ohio State one of the world's truly great universities.
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