Quantile Regression in Epidemiology: Capturing Heterogeneity Beyond the Mean. [PDF]
Gnardellis C.
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Inflammation and Perceived Social Support in Elite Athletes (A Quantile Regression Approach). [PDF]
Wiedenbrüg K +4 more
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Most Neuroscience Data Is Not Normally Distributed: Analyzing Your Data in a Non-normal World. [PDF]
Malek-Ahmadi M, Reed AM, Guan DX.
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Inference on function-valued parameters using a restricted score test. [PDF]
Hudson A, Carone M, Shojaie A.
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Identifying unmeasured heterogeneity in microbiome data via quantile thresholding (QuanT). [PDF]
Lu J +5 more
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Reduced varying coefficient models for regional quantile regression with multiple responses. [PDF]
Jung W, Park S, Hong HG, Lee ER.
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Bayesian Estimation of Marginal Quantiles with Missing Data in a Multivariate Regression Framework. [PDF]
Morán-Vásquez RA +2 more
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Heterogeneity in dual-career stress: an integrative person-centered and distribution-sensitive analysis of its asymmetric effects on adolescent football players. [PDF]
Quan Z, Liu G, Yin H, Pang D.
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Bayesian additive tree ensembles for composite quantile regressions. [PDF]
Lim Y, Lu R, Ville MS, Chen Z.
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When are novel methods for analyzing complex chemical mixtures in epidemiology beneficial? [PDF]
Wiecha N +3 more
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