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Re: st: Factor analysis
From
[email protected]
To
[email protected]
Subject
Re: st: Factor analysis
Date
Fri, 13 Sep 2013 13:05:10 +0100
Thanks for your answer.
I didn´t explained that the diagnoses are in binary format and tha the
factor analysis was made on a tetrachoric correlation matrix. Sorry
for this failure.
Can you tell me what kind of latent class model you sugest?
Thanks
Antonio
Quoting William Buchanan <[email protected]>:
This doesn't seem to be a "factor analysis" issue per se. You can
observe the diagnoses, so why not just create an indicator using the
observed diagnoses directly (e.g., if the ith observation has >1
diagnosis you label them a comorbid patient)? If you need to use
some type of latent variable modeling, it would probably make more
sense to use some form of a latent class model and use the predicted
class memberships to define observations rather than some single
continuous value that isn't directly related to classifying
observations.
HTH,
Billy
Sent from my iPhone
On Sep 13, 2013, at 6:12, [email protected] wrote:
Dear statlisters
I have a problem and i need help from you.
I´ve made a fctor analysis of a hugue database (300000 obs) of
medical diagnosis in order to unveil teg relationship betrween the
diagnostics.
I´ve found 3 factors that explain well the multimorbidity of the patients.
Now i need to create a variable (0/1) that saus iof a person has
multimorbidity or not. The condition to be multimorbidity is to
have loadigs of .30 or more in at least three of the diagnositcs,
in any one of the factors.
So i have about 60 variables with diferent loadings and i need a
variable in the previous conditions.
Does anyone can help.
Thanks in advance
Antonio Sousa
Portugal
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