Jo Hardin | Academic Influence

Jo Hardin's AcademicInfluence.com Rankings

Jo Hardin

Mathematics

#6729

World Rank

#9270

Historical Rank

Statistics

#1013

World Rank

#1112

Historical Rank

mathematics Degrees

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Mathematics

Jo Hardin's Degrees

PhD Statistics University of California, Berkeley
Masters Statistics University of California, Berkeley
Bachelors Mathematics University of California, Berkeley

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Why Is Jo Hardin Influential?

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According to Wikipedia, Johanna Sarah Hardin is an American statistician who works as a professor of mathematics at Pomona College. Her research involves high-throughput analysis for human genome data. Education and career Hardin is a Pomona graduate, earning a bachelor's degree there in mathematics in 1995. She initially planned to do actuarial science, but was led to statistics by a faculty mentor, Donald Bentley. She went to the University of California, Davis for her graduate studies, earning a master's degree in 1997 and a Ph.D. in 2000. Her dissertation, supervised by David Rocke, was Multivariate Outlier Detection and Robust Clustering with Minimum Covariance Determinant Estimation and S-Estimation.

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Jo Hardin's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Global gene expression profiling of multiple myeloma, monoclonal gammopathy of undetermined significance, and normal bone marrow plasma cells. (2002) (662)
A variance-stabilizing transformation for gene-expression microarray data (2002) (451)
The Distribution of Robust Distances (2005) (208)
Outlier detection in the multiple cluster setting using the minimum covariance determinant estimator (2004) (188)
Selecting between‐sample RNA‐Seq normalization methods from the perspective of their assumptions (2016) (175)
Data Science in Statistics Curricula: Preparing Students to “Think with Data” (2014) (157)
A robust measure of correlation between two genes on a microarray (2007) (93)
Estimating phenotypic correlations: correcting for bias due to intraindividual variability (2007) (76)
A method for generating realistic correlation matrices (2011) (69)
Cytogenetics and molecular genetics in multiple myeloma. (1997) (65)
Teaching the Next Generation of Statistics Students to “Think With Data”: Special Issue on Statistics and the Undergraduate Curriculum (2015) (62)
Genome-Wide Transcriptional Response to Varying RpoS Levels in Escherichia coli K-12 (2016) (54)
Pathways change in expression during replicative aging in Saccharomyces cerevisiae. (2008) (46)
Some computational issues in cluster analysis with no a priori metric (1999) (45)
A note on oligonucleotide expression values not being normally distributed. (2009) (40)
Using GitHub Classroom To Teach Statistics (2018) (29)
The statistical analysis of cancer inhibition/promotion experiments. (1993) (21)
Microarray Data from a (2005) (21)
A Unified Framework for Random Forest Prediction Error Estimation (2019) (19)
Network Analysis with the Enron Email Corpus (2014) (18)
Evaluation of Multiple Models to Distinguish Closely Related Forms of Disease Using DNA Microarray Data: an Application to Multiple Myeloma (2004) (18)
Methods for estimating peak physiological performance and correlating performance measures (2012) (13)
Introduction to Statistics Through Resampling Methods and R/S-PLUS (2006) (12)
Integrating Computing in the Statistics and Data Science Curriculum: Creative Structures, Novel Skills and Habits, and Ways to Teach Computational Thinking (2020) (6)
Ensuring That Mathematics is Relevant in a World of Data Science (2017) (5)
Survival Analysis with Gene Expression Arrays (2003) (4)
Computing in the Statistics Curricula: A 10-Year Retrospective (2021) (4)
Dynamic Data in the Statistics Classroom (2016) (4)
Constructing Prediction Intervals for Random Forests (2017) (3)
“Playing the Whole Game”: A Data Collection and Analysis Exercise With Google Calendar (2020) (3)
Microarray Data from a Statistician’s Point of View (2005) (3)
Statistical Analyses (2017) (2)
Trusting the Black Box: Confidence with Bag of Little Bootstraps (2015) (2)
Racism without a Face: Predictive Statistics in the Criminal Justice System (2018) (2)
Yeast through the Ages: a Statistical Analysis of Genetic Changes in Aging Yeast (2006) (2)
Molecular Profiling of Multiple Myeloma Running Head: Molecular Analysis of Myeloma Section: Neoplasia (2001) (2)
Teaching Introductory Statistics with DataCamp (2020) (2)
Analyzing DNA Microarrays with Undergraduate Statisticians (2006) (1)
Towards a More Conceptual Way of Understanding and Implementing Inferential Rules (2014) (1)
Differential expression analysis for multiple conditions (2014) (1)
A Multistage Incidence Estimation Model for Diseases with Differential Mortality (2010) (1)
Developing Inference Frameworks for Random Forests Using Bag of Little Bootstraps & Related Methods (2016) (1)
Medicine, Statistics, and Education: The Inextricable Link (2012) (1)
Expectations and Skills for Undergraduate Students Doing Research in Statistics and Data Science (2017) (1)
Statistical Analysis (2008) (1)
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.) (2007) (1)
Robust Sparse Canonical Correlation Analysis and PITCHf/x (2013) (1)
Genomic Occupancy of the Bromodomain Protein Bdf3 Is Dynamic during Differentiation of African Trypanosomes from Bloodstream to Procyclic Forms (2022) (1)
Resistant Sparse Multiple Canonical Correlation (2014) (1)
Biweight Correlation as a Measure of Distance between Genes on a Microarray (2007) (0)
Chemical Inhibition of Bromodomain Proteins in Insect-Stage African Trypanosomes Perturbs Silencing of the Variant Surface Glycoprotein Repertoire and Results in Widespread Changes in the Transcriptome (2023) (0)
Local Prediction Confidence for Classification Random Forests (2019) (0)
Resistant multiple sparse canonical correlation (2014) (0)
Normalization of RNA-Seq data in the case of asymmetric di erential expression (2016) (0)
Methods for estimating peak physiological performance and correlating performance measures (2011) (0)
1-1-2013 A method for generating realistic correlation matrices (2016) (0)
A Critical Comparison of Methods in Statistical Inference Education (2015) (0)
1-1-2006 Analyzing DNA Microarrays with Undergraduate Statisticians (2013) (0)
A Review of: “Design and Analysis of DNA Microarray Investigations” (2005) (0)
Estimating the proportion who benefit from a treatment in a Randomized Controlled Trial (2019) (0)
Randomly Generating Computationally Stable Correlation Matrices (2010) (0)
Book Review: DNA Microarrays and Related Genomics Techniques: Design, Analysis, and Interpretation of Experiments (2007) (0)
cells gammopathy of undetermined significance, and normal bone marrow plasma Global gene expression profiling of multiple myeloma, monoclonal (2011) (0)
Fun, Not Competition: The Story of My Math Club (2018) (0)
Oligonucleotide microarray data are not normally distributed (2007) (0)
The timing of transcription of RpoS-dependent genes varies across multiple stresses (2023) (0)
Book Review: Design and Analysis of DNA Microarray Investigations (2005) (0)

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What Schools Are Affiliated With Jo Hardin?

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