Statistics Help @ Talk Stats Forum - Regression Analysis
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Linear regression, linear models, nonlinear regressionenFri, 20 Oct 2017 04:31:30 GMTvBulletin60http://www.talkstats.com/images/misc/rss.pngStatistics Help @ Talk Stats Forum - Regression Analysis
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Ordinal logistic regression - How to get a single scoring function?
http://www.talkstats.com/showthread.php/70398-Ordinal-logistic-regression-How-to-get-a-single-scoring-function?goto=newpost
Tue, 17 Oct 2017 09:33:15 GMTHi all,

I'm running ordinal logistic regressions, with adjacent-category logits.
The dependent variable has four ordered levels.
So I have 3 logit equations, i.e. 3 linear predictors.
I'm wondering whether it is possible to get a single scoring function by aggregation of the 3 linear predictors. If yes, how to proceed to this aggregation in a rigorous way ?
Just to say, my eventual aim is to compute the Volume Under the ROC Surface (VUS), by using this single scoring function, so as to evaluate and compare my models' performance.

Thank you in advance,
Best regards.
]]>Regression Analysisatrollehttp://www.talkstats.com/showthread.php/70398-Ordinal-logistic-regression-How-to-get-a-single-scoring-functionConverting a continuous variable into a categorical variable (low, medium, high)
http://www.talkstats.com/showthread.php/70395-Converting-a-continuous-variable-into-a-categorical-variable-(low-medium-high)?goto=newpost
Tue, 17 Oct 2017 05:08:11 GMTI have a continuous dependent variable (scores on an exam) and a number of predictor variables that I'd like to use in a regression analysis, such as gender, age, and income. I'd like to convert age and income into categorical variables: low, medium, and high. I'd like to do this using percentiles, but am not sure if I should use tertiles (lower 33% = low, middle 33% = medium, upper 33% = high) or if I should divide the data into lower 25% (low), middle 50% (medium), and upper 25% (high).