Ruth M. Pfeiffer - researchr alias

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Viewing Publication 1 - 11 from 11

2024

Sufficient dimension reduction for a novel class of zero-inflated graphical modelsEric Koplin, Liliana Forzani, Diego Tomassi, Ruth M. Pfeiffer. csda, 196:107959, 2024. [doi]

2021

Least squares and maximum likelihood estimation of sufficient reductions in regressions with matrix-valued predictorsRuth M. Pfeiffer, Daniel B. Kapla, Efstathia Bura. ijdsa, 11(1):11-26, 2021. [doi]

2019

Least Squares and Maximum Likelihood Estimation of Sufficient Reductions in Regressions with Matrix Valued PredictorsRuth M. Pfeiffer, Wei Wang, Efstathia Bura. dsaa 2019: 135-144 [doi]

2018

Using standard microbiome reference groups to simplify beta-diversity analyses and facilitate independent validationMarlena Maziarz, Ruth M. Pfeiffer, Yunhu Wan, Mitchell H. Gail. bioinformatics, 34(19):3249-3257, 2018. [doi]

2017

On the impact of model selection on predictor identification and parameter inferenceRuth M. Pfeiffer, Andrew Redd, Raymond J. Carroll. cstat, 32(2):667-690, 2017. [doi]

2014

Goodness of fit tests for linear mixed modelsMin Tang, Eric V. Slud, Ruth M. Pfeiffer. ma, 130:176-193, 2014. [doi]

2011

2005

Prediction error estimation: a comparison of resampling methodsAnnette M. Molinaro, Richard Simon, Ruth M. Pfeiffer. bioinformatics, 21(15):3301-3307, 2005. [doi]

2003

Graphical Methods for Class Prediction Using Dimension Reduction Techniques on DNA Microarray DataEfstathia Bura, Ruth M. Pfeiffer. bioinformatics, 19(10):1252-1258, 2003.

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