J. Hardin

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The Distribution of Robust Distances

David M. Rocke, Johanna S. Hardin, J. Hardin, 2005 .

Some computational issues in cluster analysis with no a priori metric

David M. Rocke, Johanna S. Hardin, Daniel A. Coleman, 1999 .

1-1-2013 A method for generating realistic correlation matrices

J. Hardin, S. Garcia, 2016 .

A method for generating realistic correlation matrices

Johanna S. Hardin, J. Hardin, David Golan, 2011, 1106.5834.

Teaching the Next Generation of Statistics Students to “Think With Data”: Special Issue on Statistics and the Undergraduate Curriculum

Johanna S. Hardin, Johanna Hardin, Nicholas J. Horton, 2015 .

Resistant multiple sparse canonical correlation

Johanna S. Hardin, Jacob A. Coleman, J. Hardin, 2014, Statistical applications in genetics and molecular biology.

Constructing Prediction Intervals for Random Forests

J. Hardin, Benjamin Lu, 2017 .

Developing Inference Frameworks for Random Forests Using Bag of Little Bootstraps & Related Methods

J. Hardin, 2016 .

Microarray Data from a

J. Hardin, 2005 .

Local Prediction Confidence for Classification Random Forests

J. Hardin, Xiaotong Gui, 2019 .

Oligonucleotide microarray data are not normally distributed

J. Hardin, Jason Wilson, 2007 .

Biweight Correlation as a Measure of Distance between Genes on a Microarray

Johanna S. Hardin, J. Hardin, A. Mitani, 2007 .

Resistant Sparse Multiple Canonical Correlation

Johanna S. Hardin, Jacob A. Coleman, J. Hardin, 2014 .

1-1-2006 Analyzing DNA Microarrays with Undergraduate Statisticians

J. Hardin, L. Hoopes, 2013 .

Using GitHub Classroom To Teach Statistics

Jacob Fiksel, Margaret A. Taub, Leah R. Jager, 2018, Journal of Statistics Education.

Data Science in Statistics Curricula: Preparing Students to “Think with Data”

Nicholas J. Horton, J. Hardin, R. Hoerl, 2014, 1410.3127.

A robust measure of correlation between two genes on a microarray

Johanna S. Hardin, Aya Mitani, Leanne Hicks, 2007, BMC Bioinformatics.

Teaching Introductory Statistics with DataCamp

Andrew Bray, Johanna S. Hardin, Benjamin S. Baumer, 2020, Journal of Statistics Education.

Evaluation of Multiple Models to Distinguish Closely Related Forms of Disease Using DNA Microarray Data: an Application to Multiple Myeloma

Johanna S. Hardin, C. D. Page, J. Hardin, 2004, Statistical applications in genetics and molecular biology.

A Review of: “Design and Analysis of DNA Microarray Investigations”

Johanna S. Hardin, Johanna Hardin, J. Hardin, 2005 .

A variance-stabilizing transformation for gene-expression microarray data

Douglas M. Hawkins, David M. Rocke, Johanna S. Hardin, 2002, ISMB.

Methods for estimating peak physiological performance and correlating performance measures

Johanna S. Hardin, Stephen C. Adolph, J. Hardin, 2012, Environmental and Ecological Statistics.

Estimating phenotypic correlations: correcting for bias due to intraindividual variability

Johanna S. Hardin, Johanna Hardin, Stephen C. Adolph, 2007 .

A Unified Framework for Random Forest Prediction Error Estimation pdf

Benjamin Lu, Johanna Hardin, J. Hardin, 2019, J. Mach. Learn. Res..

Microarray Data from a

Johanna S. Hardin, J. Hardin, 2005 .

Medicine, Statistics, and Education: The Inextricable Link

J. Hardin, K. Brieger, 2012 .

A Review of: “DNA Microarrays and Related Genomics Techniques: Design, Analysis, and Interpretation of Experiments”, by D. B. Allison, G. P. Page, T. M. Beasley, and J. W. Edwards (Eds.)

J. Hardin, 2007 .

Outlier detection in the multiple cluster setting using the minimum covariance determinant estimator

David M. Rocke, Johanna S. Hardin, J. Hardin, 2004, Comput. Stat. Data Anal..

A Multistage Incidence Estimation Model for Diseases with Differential Mortality

Johanna S. Hardin, J. Hardin, Talithia Williams, 2010 .

Network Analysis with the Enron Email Corpus

Johanna Hardin, Ghassan Sarkis, P. C. Urc, 2014, ArXiv.