Displaying 1 result from an estimated 1 matches for "imaginethat".
2007 Aug 28
0
adding deviances as meta-analysis?
...erform and report 7 separate analyses. The problem afterwards lies in the model selection. Sometimes, the best-fitting model (either based on all-possible subset fits or a sequential procedure, with p-values, AIC or BIC based) for subject A is X1+X2, for subject B X1+X3, for C X1+X1*X2 etc. You can imaginethat this turns into a mess. I thought that evaluation of the fits of competing models could be based on a likelihood statistic that is jointly determined for all subjects, namely by aggregating (adding) deviances across subjects. In theory, if I can say that within-subject -2 log likelihood ratios to t...