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18h
comment Odds ratio discriminatory power
I don't think this is at all the way to build models.
23h
answered Odds ratio discriminatory power
1d
reviewed Close Selecting/Filtering data for analysis in Gephi
1d
reviewed Close Normalize sum(case when..)
1d
reviewed Close Combining two probability scores
1d
reviewed Close Non Homogeneous Poisson Process Insurance example
1d
reviewed Close R Poisson process simulation for a queuing problem
1d
reviewed No Action Needed Normalize sum(case when..)
1d
reviewed No Action Needed Year on year model performance evaluation via bootstrapping
1d
reviewed No Action Needed Difference in Difference vs repeated measures
1d
reviewed No Action Needed Pattern-mixture models
2d
answered Interpretaion of Logistic Coefficients
Feb
4
comment Using a dichotomous categorical variable that has an underlying continuous dichotomy in a multiple regression?
Your edit completely changes the question. You have a huge missing data problem. That is separate from the dichotomization and doesn't make it sensible. PLEASE don't give made up examples. Tell us what you are ACTUALLY doing.
Feb
4
comment What is the effect of dichotomising variables?
Thanks for noting that @chl . I fixed the link.
Feb
4
revised What is the effect of dichotomising variables?
Fixed links
Feb
4
answered Using a dichotomous categorical variable that has an underlying continuous dichotomy in a multiple regression?
Feb
4
comment Measure of fit when there is little variation in one variable?
To me, it looks like there is a curve. The slope looks lower at the lower levels and then appears to be about a 45 degree line. The odd axes make it odd, for sure. A loess line would help.
Feb
3
answered Measure of fit when there is little variation in one variable?
Feb
3
reviewed Reopen Why following Linear Regression formula is not working after certain amount of N?
Feb
3
reviewed Reopen Problem with number of dimensions in a correspondence analysis