A matched case-control design is one in which an investigator has identified 
individuals (cases) with Disease Y.  There is also a group (controls) who has not 
contracted Disease Y.  The investigator wishes to determine if Exposure X is related 
to Disease Y.  However, the cases and controls differ on more than just the exposure 
variable.  Therefore, the investigator selects characteristics that may be 
confounders, such as age, gender, socioeconomic status, etc. and for each case 
identifies a control who has the same values on the confounding variables that are 
being matched on.  Sometimes, investigators will select more than 2 or more controls 
for each case, but it's a matched design.  Each case has its own control.  Hope this 
helps.

Karen Scheltema, M.A, M.S.
Senior Statistician
HealthEast
Research and Education Department, Midway Campus
1700 University Ave W
St. Paul, MN 55104
Ph: (651) 232-5212   fax: (651) 641-0683
mailto:[EMAIL PROTECTED]



-----Original Message-----
From: Peter Frank [mailto:[EMAIL PROTECTED]
Sent: Friday, July 25, 2003 11:04 AM
To: [EMAIL PROTECTED]
Subject: Re: Paired data other than from before/after experiments?


[EMAIL PROTECTED] (Scheltema, Karen) wrote:

>Case-Control designs in health sciences data.

Could you give an example? Are the controls and cases different
indviduals?

Peter
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