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→Classification of Regression models
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*'''Simple binary logistic regression'''
::<math>\log Y = a + bX</math><br>where <math>Y</math> is '''odds ''' of outcome<math>\frac{p}{1-p}</math>
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*'''Multivariable† binary logistic regression'''
::<math>\log Y = a + b_1X_1 + b_2X_2 + b_3X_3 + \cdots</math><br>where <math>Y</math> is '''odds ''' of outcome<math>\frac{p}{1-p}</math>
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*'''Multivariable Poisson regression'''
::<math>\log Y = a + b_1X_1 + b_2X_2 + b_3X_3 + \cdots</math><br>where <math>Y</math> is '''rate ratio''' <math>\frac{events_1/person \cdot time}{events_2/person \cdot time}</math>
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