ToTo 奇妙の冒險

I am struggling Marianne's case many weeks. I taught her how to use LRT to determine whether her reduced model is good, but the result always rejects null hypothesis. It doesn't make sense because all remaining independent variables are significant!!



I re-ran her program again, but have a good result that is totally different from Marianne's and doesn't reject null hypothesis. I requested her re-ran her SAS programs again, but she still had different results from mine.



After comparing our programs, I finally figured out what happened. That is, I keep all discrete independent variables in CLASS statement even though I don't use them in MODEL statement, but Marianne deleted them in both CLASS and MODEL statement, such as:



/*Marianne's program*/

proc genmod data=mb1.total;

class urban hospcode;

model psatisfa=urban workcomp asupserv / dist=nor link=identity type3;

repeated subject=hospcode/type=exch;

run;



/*My program*/

proc genmod data=mb1.total;

class urban hospcode bedsize netwrk totalmagnet;