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Can I read Simulation Study Of Hierarchical Regression on EtoBox?
Simulation Study Of Hierarchical Regression by JOHN S. WITTE; SANDER GREENLAND is a Mathematics article available to read on EtoBox.
What is Simulation Study Of Hierarchical Regression about?
Hierarchical regression -which attempts to improve standard regression estimates by adding a second-stage 'prior' regression to an ordinary model -provides a practical approach to evaluating multiple exposures. We present here a simulation study of logistic regression in which we compare hierarchical regression fitted by a two-stage procedure to ordinary maximum likelihood. The simulations were based on case-control data on diet and breast cancer, where the hierarchical model uses a second-stage regression to pull conventional dietary-item estimates toward each other when they have similar levels of food constituents. Our results indicate that hierarchical modelling of continuous covariates offers worthwhile improvement over ordinary maximum-likelihood, provided one does not underspecify the second-stage standard deviations.
Who reads Simulation Study Of Hierarchical Regression?
It is typically read by researchers, students, and practitioners in Mathematics.
- Author
- JOHN S. WITTE; SANDER GREENLAND
- Publisher
- John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0277-6715)
- Published
- 1996
- Language
- EN
- Field
- Mathematics (Physical Sciences)