PHC 6053 – Current Video Lectures

Direct Links to YouTube Videos of Live Lectures

  • Live Topic 7 Part A  (7:50) – Multiple Logistic Regression – Introduction and Model (Slides 1-5)
  • Live Topic 7 Part B  (4:13) – Multiple Logistic Regression – Proving how to find the odds ratio for a delta unit increase in X1 (Slide 6)
  • Live Topic 7 Part C  (8:37) – Multiple Logistic Regression – Example 1 (Slides 7-13)
  • Live Topic 7 Part D  (6:56) – Multiple Logistic Regression – Example 2 (Slides 14-18)
  • Live Topic 7 Part E  (3:55) – Multiple Logistic Regression – Confounding (Slides 19-22)
  • Live Topic 7 Part F  (5:08) – Multiple Logistic Regression – Interaction (Slides 23-24)
  • Live Topic 7 Part G  (5:37) – Multiple Logistic Regression – Interaction (Slides 25-29)
  • Live Topic 7 Part H  (3:47) – Multiple Logistic Regression – Interaction, Prediction, ROC curves (Slides 30-44)
  • Live Topic 8A  (5:18) – Introduction, Residual Plots, and DFBETAs (Slides 1-11)
  • Live Topic 8B  (5:07) – Linearity, Hosmer-Lemshow test of goodness of fit (Slides 12-End)
  • Live Topic 9A  (3:59) – Introduction (Slides 1-3)
  • Live Topic 9B  (7:51) – Methods and Process of Model Building (Slides 4-7)
  • Live Topic 9C  (4:51) – All possible models, R-square critera, Introduction to example (Slides 8-13)
  • Live Topic 9D  (3:31) – R-square criteria (Slides 14-15)
  • Live Topic 9E  (3:35) – Adjusted R-square criteria (Slides 16-18)
  • Live Topic 9F  (2:28) – AIC criteria, SAS code (Slides 19-22)
  • Live Topic 9G  (7:43) – Overview of Automatic Selection methods, Forward Stepwise Selection (Slides 23-29)
  • Live Topic 9H  (4:23) – Backwards Elimination, Forwards Selection, SAS Code, Comments (Slides 30-35)
  • Live Topic 9I  (8:30) – Colliniearity and Confounding (Slides 36-42)