Search Results - "Nettleton, Dan"

Identifying Relevant Covariates in RNA-seq Analysis by Pseudo-Variable Augmentation.

Authors: Nguyen, Yet Nettleton, Dan

Source: Journal of Agricultural, Biological & Environmental Statistics (JABES). Jun2026, Vol. 31 Issue 2, p367-386. 20p.

A hierarchical approach to modeling golf hole scores with Hardy distributions.

Authors: Hardt, Marie Nettleton, Dan

Source: Journal of Quantitative Analysis in Sports. Jun2025, Vol. 21 Issue 2, p97-115.

Using Conformal Win Probability to Predict the Winners of the Canceled 2020 NCAA Basketball Tournaments.

Authors: Johnstone, Chancellor Nettleton, Dan

Source: American Statistician. Aug2024, Vol. 78 Issue 3, p304-317. 14p.

Case-Specific Random Forests.

Authors: Xu, Ruo Nettleton, Dan Nordman, Daniel J.

Source: Journal of Computational & Graphical Statistics; Jan-Mar2016, Vol. 25 Issue 1, p49-65, 17p

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Using random forests to estimate win probability before each play of an NFL game.

Authors: Lock, Dennis Nettleton, Dan

Source: Journal of Quantitative Analysis in Sports. Jun2014, Vol. 10 Issue 2, p197-205.

A Hierarchical Semiparametric Model for Incorporating Intergene Information for Analysis of Genomic Data.

Authors: Qu, Long Nettleton, Dan Dekkers, Jack C. M.

Source: Biometrics. Dec2012, Vol. 68 Issue 4, p1168-1177.

Improved Estimation of the Noncentrality Parameter Distribution from a Large Number of t-Statistics, with Applications to False Discovery Rate Estimation in Microarray Data Analysis.

Authors: Qu, Long Nettleton, Dan Dekkers, Jack C. M.

Source: Biometrics. Dec2012, Vol. 68 Issue 4, p1178-1187.

Exploring the Information in p-Values for the Analysis and Planning of Multiple-Test Experiments.

Authors: Ruppert, David Nettleton, Dan Hwang, J. T. Gene

Source: Biometrics. Jun2007, Vol. 63 Issue 2, p483-495.

Statistical Analysis of Next-Generation Sequencing Data.

Authors: Tellier, Aurélien¹ tellier@wzw.tum.de

Source: Biometrics. Sep2016, Vol. 72 Issue 3, p1008-1008. 4p.

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Principal Components Regression With Data-Chosen Components and Related Methods.

Authors: Hwang, J. T. Nettleton, Dan

Source: Technometrics; February 2003, Vol. 45 Issue 1, p70-79, 10p

Estimation of False Discovery Rate Using Sequential Permutation p-Values.

Authors: Bancroft, Tim Du, Chuanlong Nettleton, Dan

Source: Biometrics. Mar2013, Vol. 69 Issue 1, p1-7.

Linear Mixed Model Selection for False Discovery Rate Control in Microarray Data Analysis.

Authors: Demirkale, Cumhur Yusuf Nettleton, Dan Maiti, Tapabrata

Source: Biometrics. Jun2010, Vol. 66 Issue 2, p621-629.

Identifying Genes Associated with a Quantitative Trait or Quantitative Trait Locus via Selective Transcriptional Profiling.

Authors: Dong Wang Nettleton, Dan

Source: Biometrics. Jun2006, Vol. 62 Issue 2, p504-514.

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Detecting Differential Expression in RNA-sequence Data Using Quasi-likelihood with Shrunken Dispersion Estimates.

Authors: Lund, Steven P. Nettleton, Dan McCarthy, Davis J. et al.

Source: Statistical Applications in Genetics & Molecular Biology. Sep2012, Vol. 11 Issue 5, p-1. 44p. 8 Charts, 16 Graphs.

Detecting Differentially Expressed Genes with RNA-seq Data Using Backward Selection to Account for the Effects of Relevant Covariates.

Authors: Nguyen, Yet Nettleton, Dan Liu, Haibo et al.

Source: Journal of Agricultural, Biological & Environmental Statistics (JABES). Dec2015, Vol. 20 Issue 4, p577-597. 21p.