"Cross-Validation, Shrinkage and Variable Selection in Linear Regression Revisited"
written by Hans C. van Houwelingen, Willi Sauerbrei,
published by Open Journal of Statistics, Vol.3 No.2, 2013
has been cited by the following article(s):
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[14] Performance Assessment of Penalized Variable Selection Methods Using Crop Yield Data from the Three Northern Regions of Ghana
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[16] Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): explanation and elaboration
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[17] Chaotic feature analysis and forecasting of Liujiang River runoff
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[18] Valuing Patents with Linear Regression: Identifying value indicators and using a linear regression model to value patents
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[19] 基于组块 3× 2 交叉验证 t 检验的模型选择算法
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[20] Application of Penalized Regression Techniques in Modelling Insulin Sensitivity by Correlated Metabolic Parameters
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[21] Validation of prediction models based on lasso regression with multiply imputed data
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[22] On stability issues in deriving multivariable regression models
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