I have a very large data set with more than 100
independent variables. I am trying to do a
risk-adjusted model for hospitalization. The
dependent variable was created based on a
hospitalization event during the first 7 days of a
home care admission and was coded as 0 and 1. However
the rate of hospitalization of 7 days is very rare
(2.7%). My questions is
(1)May I apply a Poisson regression model in this
situation? If yes, how can I reduce independent
variables? If no, what is the best way that I should
try?
In addition, I also created variables that indicate if
a patient had a hospitalization event within 14, 21,
and 30 days. I am going to try modeling how patients�
characteristics at start of care relate to the
occurrence of an event within a certain time period.
Any suggestion of how I should approach this. I am
new to statistics and am still learning. I�ll really
appreciate your response.
Thanks.
Lily Padula
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