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→Classification of Regression models
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*'''MultipleMultivariable† linear regression'''
::<math>Y = a + b_1X_1 + b_2X_2 + b_3X_3 + \cdots</math>
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*'''MultipleMultivariable† 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
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*'''MultipleMultivariable† multinominal logistic regression'''
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*'''MultipleMultivariable† ordinal logistic regression'''
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*'''Multiple Multivariable proportional hazard regression'''<br>= '''Cox hazard regression'''
::<math>\log h(T) = \log h_0(T) + b_1X_1 + b_2X_2 + b_3X_3 + \cdots</math><br>where <math>h(T)</math> is the hazard at time <math>T</math><br>and <math>h_0(T)</math> is the baseline hazard at time <math>T</math>
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†'MultipleMultivariable' can be rephrased as 'Multi'''variable'''Multiple'; Multivariable is <font color="red">'''NOT equal to 'Multivariate'!!'''</font>
