Bias Adjustment with Polychotomous Logistic Regression in Matched Case-Control Studies with Two Control Groups

✍ Scribed by Dr. K.-H. Becher; Dr. K.-H. Jöckel

• Publisher: John Wiley and Sons
• Year: 2007
• Tongue: English
• Weight: 820 KB
• Volume: 32
• Category: Article
• ISSN: 0323-3847
• DOI: 10.1002/bimj.4710320706

✦ Synopsis

Relative risk estimation in case-control studies is based on the premise that the control groiip represents the underlying population. Often more than one control group is collected in order to minimize the possibility of accepting a false result.

I n this paper it is assumed that a case is matched individually to two different controls and that one control group inay lack representativeness with respect t o some risk factors. It is discuseed whether this group may be used for relative risk estimation and a polychotomoiis logistic. regression model is suggested in which these differonces between the control groups are taken into account. A practical method for model search ie given. Data of two case-control studies are rised to demonstrate the method. I n a simulation study its efficiency is investigated. Some cornpiitations illnstrate the effect of ignoring biw iii one control group.