Hi,
I have two questions about the procedure proc logistic:
1) When is recommended to use crossing effects?, I refer to the case of including the product of two input vars( var1*var2) in the model. Example:
proc logistic data=test outmodel=modelo2 plots(only)=roc;
class cod_posicion nivel_sal rango_edad rango_ant rango_eval;
model baja = rango_edad rango_ant nivel_sal rango_eval cod_posicion
rango_edad*rango_ant rango_edad*nivel_sal rango_edad*rango_ant;
quit;
I think is recommended when there is a correlation between the varis, isn't it?
2) Haw can I do a regularizarion in logistoc regression usind proc logistic. I mean regularizaton methods like
Ridge, Lasso y Elastic Net.
Any advice will be greatly appreciated
Thanks in advance
1) when the combination of these two variable are significant .
E.X.
sex=F is significant for Y
age=20 is significant for Y
sex=F and age=20 is also significant for Y
2) PROC HPGENSELECT
1) when the combination of these two variable are significant .
E.X.
sex=F is significant for Y
age=20 is significant for Y
sex=F and age=20 is also significant for Y
2) PROC HPGENSELECT
ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.
Find more tutorials on the SAS Users YouTube channel.