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Hypothesis tests are a crucial statistical tool for data mining and are the workhorse of scientific research in many fields.
On the measure of concentration with special reference to income and statistics
Corrado Gini · 1936
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Individual comparisons by ranking methods
Frank Wilcoxon · 1945
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Individual comparisons by ranking methods
Frank Wilcoxon · 1945
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On a test of whether one of two random variables is stochastically larger than the other
Henry B Mann and Donald R Whitney · 1947
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Use of ranks in one-criterion variance analysis
William H. Kruskal and W. Allen Wallis · 1952
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Remarks on zeros and ties in the wilcoxon signed rank procedures
John W Pratt · 1959
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On methods of handling ties in the wilcoxon signed-rank test
William Jay Conover · 1973
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k-anonymity: A model for protecting privacy
Latanya Sweeney · 2002
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Our data, ourselves: Privacy via distributed noise generation
Cynthia Dwork, Krishnaram Kenthapadi, Frank McSherry, Ilya Mironov, and Moni Naor · 2006
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Calibrating noise to sensitivity in private data analysis
Cynthia Dwork, Frank McSherry, Kobbi Nissim, and Adam Smith · 2006
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Smooth sensitivity and sampling in private data analysis
Kobbi Nissim, Sofya Raskhodnikova, and Adam Smith · 2007
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Resolving individuals contributing trace amounts of dna to highly complex mixtures using high-density snp genotyping microarrays
Nils Homer, Szabolcs Szelinger, Margot Redman, David Duggan, Waibhav Tembe, Jill Muehling, John V Pearson, Dietrich A Stephan, Stanley F Nelson, and David W Craig · 2008
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Robust de-anonymization of large sparse datasets
Arvind Narayanan and Vitaly Shmatikov · 2008
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Efficient, differentially private point estimators
Adam Smith · 2008
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The tyranny of power: Is there a better way to calculate sample size?
John Martin Bland · 2009
Cited alongside, same era.
Differential privacy for clinical trial data: Preliminary evaluations
Duy Vu and Aleksandra Slavkovic · 2009
Cited alongside, same era.
A statistical framework for differential privacy
Larry Wasserman and Shuheng Zhou · 2010
Cited alongside, same era.
Increased dna methylation status of the serotonin receptor 5htr1a gene promoter in schizophrenia and bipolar disorder
Anthony Carrard, Annick Salzmann, Alain Malafosse, and Felicien Karege · 2011
Cited alongside, same era.
Parametric methods outperformed non-parametric methods in comparisons of discrete numerical variables
Morten Fagerland, Leiv Sandvik, and Petter Mowinckel · 2011
Cited alongside, same era.
Privacy preserving gwas data sharing
Stephen E Fienberg, Aleksandra Slavkovic, and Caroline Uhler · 2011
Differentially private significance testing on paired-sample data
Christine Task and Chris Clifton · 2016
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Determination of medical abortion eligibility by women and community health volunteers in nepal: A toolkit evaluation
Kathryn Andersen, Mary Fjerstad, Indira Basnett, Shailes Neupane, Valerie Acre, Sharad Kumar Sharma, and Emily Jackson · 2017
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Differentially private significance tests for regression coefficients
Andrés F Barrientos, Jerome P Reiter, Ashwin Machanavajjhala, and Yan Chen · 2017
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Finite sample differentially private confidence intervals
Vishesh Karwa and Salil Vadhan · 2017
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Differentially private regression for discrete-time survival analysis
Thông T Nguyên and Siu Cheung Hui · 2017
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Cited alongside, same era.
Privacy-preserving statistical estimation with optimal convergence rates
Adam Smith · 2011
Cited alongside, same era.
Privacy-preserving data exploration in genome-wide association studies
Aaron Johnson and Vitaly Shmatikov · 2013
Cited alongside, same era.
Privacy-preserving data sharing for genome-wide association studies
Caroline Uhlerop, Aleksandra Slavković, and Stephen E Fienberg · 2013
Cited alongside, same era.
Differentially private hypothesis testing for normal random variables
Eftychia Solea · 2014
Cited alongside, same era.
FOILing NYC’s taxi trip data
Chris Whong · 2014
Cited alongside, same era.
Differential privacy for social science inference
Vito D’Orazio, James Honaker, and Gary King · 2015
Cited alongside, same era.
A new class of private chi-square hypothesis tests
Ryan Rogers and Daniel Kifer · 2017
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Differentially private ordinary least squares
Or Sheffet · 2017
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Differentially private uniformly most powerful tests for binomial data
Jordan Awan and Aleksandra Slavkovic · 2018
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Differentially private anova testing
Zachary Campbell, Andrew Bray, Anna Ritz, and Adam Groce · 2018
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Comparing population means under local differential privacy: With significance and power, 2018
Bolin Ding, Harsha Nori, Paul Li, and Joshua Allen · 2018
Later among the works it cites.
Locally private mean estimation: Z-test and tight confidence intervals
Marco Gaboardi, Ryan Rogers, and Or Sheffet · 2018
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United states global financial inclusion (global findex) database 2017
Finance World Bank Development Research Group and Private Sector Development Unit · 2018
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Improved differentially private analysis of variance
Marika Swanberg, Ira Globus-Harris, Iris Griffith, Anna Ritz, Adam Groce, and Andrew Bray · 2019
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