intro to logistic and multinomial regression by steven drury

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  • Slide 1
  • Intro to Logistic and Multinomial Regression By Steven Drury
  • Slide 2
  • Outline of Presentation Binary Logistic Regression Model Cumulative logit model for ordinal outcome Generalized logit model for nominal outcome
  • Slide 3
  • Binary Logistic Regression Model Suppose a pair of variables (x,y) is observed on some individuals, where x is a continuous variable, whereas y is a binary variable, that is, y assumes only two values. Examples (Binary by nature). relief v. no relief from a certain medical condition; voted yes v. no on proposition XX; HIV infection v. no infection; won v. lost; dead v. alive;
  • Slide 4
  • Continuous Variables Can be Made Binary Examples: (i) excess body weight loss =50 v. no PTSD if score