Date: Tue, 24 Mar 2009 10:20:17 -0500
Reply-To: Mary <firstname.lastname@example.org>
Sender: "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From: Mary <mlhoward@AVALON.NET>
Subject: Re: How can I detect any real deviation from a uniform monthly
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You'd have to have a control group, those who do not have depression.
Then if you are after the season of birth as a predictor of depression you
would create a new variable in a data step:
if month_of_birth in (12,1,2) then season='Winter';
else if month_of_birth in (3,4,5) then season='Spring';
else if month_of_birth in (6,7,8) then season='Summer';
else if month_of_birth in (9,10,11) then season='Fall';
if diagnosis='Depression' then disease=1;
proc logisitic data=newtable;
class season(param=ref ref='Summer');
model disease(DESC)= season;
----- Original Message -----
From: "Irin later" <irinfigvam@YAHOO.COM>
Sent: Tuesday, March 24, 2009 10:04 AM
Subject: How can I detect any real deviation from a uniform monthly
I have a file of unique patients who had diagnosis "Depression" during the
For each of the patients I have Month of Birth value (1-12).
I expect seasonal variations in the diagnosis of depression (depending on
the month of the birth value).
How can I validate or disprove this hypothesis? How can I detect any real
from a uniform monthly distribution?
How to implement it in SAS code?
Could you, please, give me a hand?
Thank you in advance,