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Applied Logistic Regression

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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