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11-18-2016 01:50 AM

Hello

1) How can we say new model is better?

2) If SC or AIC criteria under the intercept column would have been increased in the 2nd model then what would be the conclusion?

3) If probability for LR and Score is >.05 and therefore insignificant but the probability of Wald is <.05 and thus significant. In such a case we reject or accept the null hypothesis?

Thanks

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11-23-2016
02:48 AM

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Posted in reply to KafeelBasha

11-18-2016 02:43 AM

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11-23-2016
02:48 AM

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Posted in reply to KafeelBasha

11-18-2016 02:43 AM

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Posted in reply to Ksharp

11-18-2016 04:37 AM

Thanks a lot.

I didn't get second explanation properly. Please help.

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Posted in reply to KafeelBasha

11-18-2016 06:11 AM

When do we prefer Likelyhood ratio over Wald and Score?.

Any Example?.

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Posted in reply to KafeelBasha

11-18-2016 10:28 PM

2) covariables can explain more variability of data (the difference between intercept and covariables is bigger). the latter one is a better model. "When do we prefer Likelyhood ratio over Wald and Score?." I don't know . Likelyhood ratio is usually for Contingency Table.Check PROC CATMOD which can also do Logistic Regression.