Hello everyone:
I am a new user learning program Mark. Now I am working with the examples of chapter 6 of the markbook.
In section 6.10 (>1 classification variables, n-way ANOVA) I am trying to build constrained models using PIMs and design matrix but I have a problem with the example multi-group.INP.
The model to run is:
phi=sex+colony+time+sex.time+colony.time+sex.colony+sex.colony.time
To simplify, it is assumed that p is the same for both sexes and both colonies, and constant over time. The model has 17 parameters (16 values for phi and 1 for p).
When I run the model built with the PIM chart and the logit link function, the AIC and nº of parameters are the same as in the markbook.
But when I build the model with the design matrix, although it is identical as in the markbook, after running this model, the results are different. I obtain only 13 parameters and AIC and deviance are higher. When I look at the real estimates I see that phi2, phi4, phi6 and phi8 are erroneous (close to 1.00) and p values from parameter 18 to parameter 32 are 0.5 (although the result browser shows only 13 parameters!) with standard errors and confidence intervals equals to 0.00.
Can someone tell me where I am wrong?
Thank you in advance for your help
Mercedes
University of Córdoba. Spain