[R] Hypothesis Testing using Wald Criterion for two regression models with dummy variables

[Bert Gunter]

Meredith:

You are clearly out of your depth. Get local help. R-help is, err....,
an R help list, not a resource for remote statistical consulting.
Although, I admit, there is often some overlap.

-- Bert

On Wed, May 2, 2012 at 5:58 AM, peter dalgaard <pdalgd at gmail.com> wrote:
>
> On May 1, 2012, at 22:01 , meredith wrote:
>
>> I have two models, controlled by dummy variables to see if the models can be
>> combined into one model with similar intercepts and slopes. Has anyone tried
>> to conduct this type of test in R. I am utilizing the econometric idea of
>> hypothesis testing through the hypothesis of coincidence. I have tried to
>> run an anova with test of Chisq, but I am not sure what the results are
>> telling. In addition, I used the rms package with a lrm model in an anova
>> test, again I am not sure what the results are telling me:
>> ....
>> Can anyone help me with this?
>
> Not unless you say what you are trying to do... As far as I can tell, you are (A) using a chi-square test for a standard linear model (Gaussian response) and (B) fitting a logistic regression model to the same response, which assumes that it is a proportion or binary response. Neither makes any sense to me.
>
> --
> Peter Dalgaard, Professor
> Center for Statistics, Copenhagen Business School
> Solbjerg Plads 3, 2000 Frederiksberg, Denmark
> Phone: (+45)38153501
> Email: pd.mes at cbs.dk  Priv: PDalgd at gmail.com
>
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-- 

Bert Gunter
Genentech Nonclinical Biostatistics

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