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Title:

Logistic Regression

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model mprove/total=medage/clodds=wald; output out=m2 p=prob xbeta=logit; run; title Example for Logistic Regression'; title2 'from Table 9.14 P. 338 of Woolson and ... – PowerPoint PPT presentation

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Title: Logistic Regression


1
Logistic Regression
  • data maoi
  • input medage improve total
  • label medage'median age'
  • improve'number improved'
  • total'total number of patients'
  • lines
  • 30 3 27
  • 34 3 21
  • 38 6 32
  • 42 6 19
  • 46 11 26
  • 50 12 25
  • 54 10 20
  • 58 12 23
  • 62 12 17
  • run

2
  • proc logistic
  • model mprove/totalmedage/cloddswald output
    outm2 pprob xbetalogit
  • run
  • title Example for Logistic Regression'
  • title2 'from Table 9.14 P. 338 of Woolson and
    Clarke'
  • run

3
  • proc sort datam2
  • by medage
  • run
  • proc gplot datam2
  • plot logitmedage
  • plot probmedage
  • title Maoidata with Logistic Regression'
  • run
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