| 21. | When nominal variables are to be explained, logistic regression or probit regression is commonly used.
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| 22. | Compute p ( success ) for each subject using the coefficients from the logistic regression.
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| 23. | It is similar to linear regression and logistic regression.
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| 24. | Rosner ( 1992 ) shows that the ratio methods apply approximately to logistic regression models.
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| 25. | However, logistic regression cannot be handled this way.
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| 26. | Discriminative : Logistic regression, Support Vector Machines, Maximum Entropy Markov Model, Conditional Random Fields, Neural Networks
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| 27. | Two measures of deviance are particularly important in logistic regression : null deviance and model deviance.
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| 28. | Age remains significant in multiple logistic regression analyses.
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| 29. | Logistic regression can take into account stratification by having a different constant term for each strata.
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| 30. | If the dependent variable is a dummy variable, then logistic regression or probit regression is commonly employed.
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