「Regression model」の版間の差分
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!style="width:250px"|Multivariable (multiple variables) | !style="width:250px"|Multivariable (multiple variables) | ||
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− | !rowspan=" | + | !rowspan="4"|Dependent variable<br>(outcome) |
!Continuous | !Continuous | ||
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− | *''' | + | *'''Multiple† linear regression''' |
::<math>Y = a + b_1X_1 + b_2X_2 + b_3X_3 + \cdots</math> | ::<math>Y = a + b_1X_1 + b_2X_2 + b_3X_3 + \cdots</math> | ||
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!Binary | !Binary | ||
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− | *'''Simple logistic regression''' | + | *'''Simple binary logistic regression''' |
::<math>\log Y = a + bX</math><br>where <math>Y</math> is odds of outcome | ::<math>\log Y = a + bX</math><br>where <math>Y</math> is odds of outcome | ||
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− | *'''Multiple logistic regression''' | + | *'''Multiple† 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>\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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+ | |- | ||
+ | !Multinominal<br>≥ 3 | ||
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+ | *'''Simple multinominal logistic regression''' | ||
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+ | *'''Multiple† multinominal logistic regression''' | ||
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+ | |- | ||
+ | !Ordinal | ||
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+ | *'''Simple ordinal logistic regression''' | ||
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+ | *'''Multiple† ordinal logistic regression''' | ||
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!Survival time | !Survival time | ||
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*'''Multiple proportional hazard regression'''<br>= '''Cox hazard regression''' | *'''Multiple proportional hazard regression'''<br>= '''Cox hazard regression''' | ||
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+ | †'Multiple' can be rephrased as 'Multivariable'; <color="red">'''NOT 'Multivariate'!!'''<color="red"> |
2022年12月12日 (月) 01:07時点における版
Classification of Regression models
Independent variable (exposure) | |||
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Monovariable (single variable) | Multivariable (multiple variables) | ||
Dependent variable (outcome) |
Continuous |
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Binary |
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Multinominal ≥ 3 |
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Ordinal |
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Survival time |
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†'Multiple' can be rephrased as 'Multivariable'; <color="red">NOT 'Multivariate'!!<color="red">