Hi Jurgen, Thanks for the response. Seems like a feasible idea. I can do it for my "Normals", but the atypicals have a large variability in the measure. And only the atypicals have missing data. Thanks for the idea though... sid.
On Thu, Jan 29, 2009 at 11:02 AM, Jürgen Hänggi < j.haenggi@psychologie.uzh.ch> wrote:
Hi Siddharth
If there are not too many missing values, you can fill the missing values by the mean of the values you have and hope that the subjects who completed all tasks did not systematically deviate from the subjects who did not complete the tasks.
Regards Jürgen
On 28.1.2009 20:46 Uhr, "Siddharth Srivastava" siddys@gmail.com wrote:
Hi everyone, I was wondering if it is possible to flag missing entries in the covariates corresponding to subjects, in the construction of the file passed through --fsgd to mri_glmfit ? Not all my subjects completed all the tasks, and i need to code them in the file, somehow. thanks, sid.
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