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Can I read Bias Adjustment with Polychotomous Logistic Regression in Matched Case‐Control Studies with Two Control Groups on EtoBox?
Bias Adjustment with Polychotomous Logistic Regression in Matched Case‐Control Studies with Two Control Groups by Dr. K.-H. Becher; Dr. K.-H. Jöckel is a Mathematics article available to read on EtoBox.
What is Bias Adjustment with Polychotomous Logistic Regression in Matched Case‐Control Studies with Two Control Groups about?
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.
Who reads Bias Adjustment with Polychotomous Logistic Regression in Matched Case‐Control Studies with Two Control Groups?
It is typically read by researchers, students, and practitioners in Mathematics.
- Author
- Dr. K.-H. Becher; Dr. K.-H. Jöckel
- Publisher
- John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Ltd.; Wiley (ISSN 0323-3847)
- Published
- 1990
- Language
- EN
- Field
- Mathematics (Physical Sciences)