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A generalized regression methodology, which uses a class of ordinal regression models to estimate smoothed ROC curves has been described.
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Mantel, N. The detection of disease clustering and a generalized regression approach.
Mantel, N. Detection of disease clustering and a generalized regression approach.
Or adultesence might be just the opposite: not evidence of progress but another sign of a generalized regression.
The sequential regression methodology was applied.
Statistical methods including linear and generalized regression; random-effects models; methods for categorical data; survival analysis; and nonparametric methods.
(c,d) Using generalized regression, we identified prediction surfaces for the risk of BCR using the 1 year (panel c) or 3 year post-nadir time window (panel d).
Initially, three single-stage models were designed, namely the generalized regression neural network, feedforward neural network and multiple linear regression.
For comparison purposes, multivariable regression and generalized regression neural networks were used for E and UCS prediction.
A generalized regression model is also provided by combining the available data of any cross-section.
Using results from our simulations, generalized regression equations are fitted to obtain steady-state hospital capacities.
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