【摘 要】
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LASSO penalization can be used for models with very high numbers of covariates.The regression parameters are penalized and more of them become zero as the penalty increases,thereby resulting in covari
【机 构】
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Leiden University,The Netherlands
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LASSO penalization can be used for models with very high numbers of covariates.The regression parameters are penalized and more of them become zero as the penalty increases,thereby resulting in covariate selection.LASSO has so far been applied in many(generalized) linear models,but has only recently been extended to Generalized Linear Mixed Models(GLMMs),allowing for the modeling of correlated observations.
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