IMPROVED ODDS RATIO ESTIMATION BY POST HOC STRATIFICATION OF CASE-CONTROL DATA

✍ Scribed by MARKUS NEUHÄUSER; HEIKO BECHER

• Publisher: John Wiley and Sons
• Year: 1997
• Tongue: English
• Weight: 256 KB
• Volume: 16
• Category: Article
• ISSN: 0277-6715
• DOI: 10.1002/(sici)1097-0258(19970515)16:9<993::aid-sim505>3.0.co;2-2

✦ Synopsis

We propose a logistic regression analysis of unmatched or frequency matched case-control studies with conditional maximum likelihood estimation through post hoc stratification. In this model fewer parameters have to be estimated. With a simulation study we show that parameter estimates have smaller variance and are less biased. Also, the residual confounding effect was quantified. A more refined post hoc stratification reduces computing time, but to the cost of a larger bias and a loss in efficiency. The model was also applied to data of unmatched case-control studies on laryngeal cancer, oesophageal cancer and lung cancer.