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- W1926244529 abstract "Much controversy exists regarding proper methods for the selection of variables in confounder control. Many authors condemn any use of significance testing, some encourage such testing, and other propose a mixed approach. This paper presents the results of a Monte Carlo simulation of several confounder selection criteria, including change-in-estimate and collapsibility test criteria. The methods are compared with respect to their impact on inferences regarding the study factor's effect, as measured by test size and power, bias, mean-squared error, and confidence interval coverage rates. In situations in which the best decision (of whether or not to adjust) is not always obvious, the change-in-estimate criterion tends to be superior, though significance testing methods can perform acceptably if their significance levels are set much higher than conventional levels (to values of 0.20 or more)." @default.
- W1926244529 created "2016-06-24" @default.
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- W1926244529 date "1989-11-01" @default.
- W1926244529 modified "2023-10-05" @default.
- W1926244529 title "RE:“;THE IMPACT OF CONFOUNDER SELECTION CRITERIA ON EFFECT ESTIMATION”" @default.
- W1926244529 doi "https://doi.org/10.1093/oxfordjournals.aje.a115409" @default.
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