Regularization Paths for Conditional Logistic Regression: The clogitL1 Package.
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Sparse conditional logistic regression for analyzing large-scale matched data from epidemiological studies: a simple algorithmThe case-crossover design via penalized regression.Habitat and social factors shape individual decisions and emergent group structure during baboon collective movement.Metabolomic profiling of breast tumors using ductal fluid.Prediction of genome-wide DNA methylation in repetitive elementsA new framework for prediction and variable selection for uncommon events in a large prospective cohort study.
P2860
Regularization Paths for Conditional Logistic Regression: The clogitL1 Package.
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Regularization Paths for Conditional Logistic Regression: The clogitL1 Package.
@en
Regularization Paths for Conditional Logistic Regression: The clogitL1 Package.
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Regularization Paths for Conditional Logistic Regression: The clogitL1 Package.
@en
Regularization Paths for Conditional Logistic Regression: The clogitL1 Package.
@nl
prefLabel
Regularization Paths for Conditional Logistic Regression: The clogitL1 Package.
@en
Regularization Paths for Conditional Logistic Regression: The clogitL1 Package.
@nl
P2860
P1476
Regularization Paths for Conditional Logistic Regression: The clogitL1 Package.
@en
P2093
Rob Tibshirani
Stephen Reid
P2860
P407
P577
2014-07-01T00:00:00Z