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4 weeks ago

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

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Solution

4 weeks ago

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4 weeks ago

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

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Solution

4 weeks ago

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4 weeks ago

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