Dear statalists,
Sorry to disturb you all.
As what says in the topic——Is "Pseudo R2"considered to be important in logistic regression? If so,what does it mean?
We all know that R-square means how the equation suit for the research.The value range starts from 0 to 1,The closer that this value is to 1, the more well-suited the equation is.But in logistic regression,I wondered if it is the same with other normal regression?
My Pseudo R2 is 0.0491,does it mean good to logistic regression?
Many thanks in advance.
Related Posts with Is "Pseudo R2"considered to be important in logistic regression? If so,what does it mean?
asclogit choice model set returns incorrect coefficientsI am using asclogit to analyze a choice model (12 cases with 3 alternatives, 1 independent continuou…
Can I use a multinomial logit regression analysis using cubic polynomial of time to control time dependence?If not, which method should I use to control time dependence? My dependent variable is categorial. T…
Can I use Kaplan-Meier estimator to predict duration of a treatment?Hi, I don't have much experience with STATA, and so I'm in need for some help. I have a dataset of a…
number of columns (variables)?Dear All, I found this question here. The question is that how we count the number of columns in the…
Compatability error while creating a spatial lagged explanatory variableI am trying to create a spatially lagged X variable to run a SLX type model Issue: I get a compatib…
Subscribe to:
Post Comments (Atom)
0 Response to Is "Pseudo R2"considered to be important in logistic regression? If so,what does it mean?
Post a Comment