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Symmetric and trimmed solutions of simple linear regression
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Analysis using generalized linear models and its applied computation with R
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Significance testings in regression analyses
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Bayesian multilevel quantile regression for longitudinal data
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High-dimensional regression for gene-environment interactions
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Prediction and feature selection with regularized regression in integrative genomics
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Feature selection in high-dimensional modeling with thresholded regression
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Energy use intensity estimation method based on building façade features by using regression models
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Using classification and regression trees (CART) and random forests to address missing data
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Robust feature selection with penalized regression in imbalanced high dimensional data
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Non-parametric multivariate regression hypothesis testing
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The Generation Of Predictor Equations By Recursive Linear Regression
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Theoretical models of voltage controlled oscillators and the effects of non-linearity
Approaches to inference in ordinal multiple regression
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Large-scale inference in multiple Gaussian graphical models
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Methodology and application of modern genetic association tests in admixed populations
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Bootstrapping Variable Selection Procedures In Linear Models
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The effect of random error in building regression models
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A study of methods for missing data problems in epidemiologic studies with historical exposures
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A Simple Macroeconomic Model For The Chilean Economy
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An application of the ridge regression method to a neurological nursing care study
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Quantile mediation models: methods for assessing mediation across the outcome distribution
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Computational design for analysis of SNP association studies
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Applications of multiple imputations in survival analysis
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Multivariable linear systems approximation via singular value analysis
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