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Hypothesis testing is a useful statistical tool in determining whether a given model should be rejected based on a sample from the population.
Contributions to the Statistical Analysis of Categorical Data
S.K. Mitra · 1955
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On the limiting power function of the frequency chi-square test
S.K. Mitra · 1958
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The family and voting turnout
William A Glaser · 1959
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City size distributions and economic development
Brian JL Berry · 1961
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Computing the distribution of quadratic forms in normal variables
J. P. Imhof · 1961
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The power of chi square tests for contingency tables
Rosa C. Meng and Douglas G. Chapman · 1966
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Discrete multivariate analysis: Theory and practice, 1975
Yvonne M. M. Bishop, Stephen E. Fienberg, and Paul W. Holland · 1975
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Power and sample size for approximate chi-square tests
William C. Guenther · 1977
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Church attendance and attitudes toward abortion: Differentials in liberal and conservative churches
Helen Rose Fuchs Ebaugh and C Allen Haney · 1978
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Causes of death among laundry and dry cleaning workers
Aaron Blair, Pierre Decoufle, and D Grauman · 1979
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Economic expectations and voting behavior in united states house and senate elections
James H Kuklinski and Darrell M West · 1981
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Asthma and the month of birth
TJ David and SC Beards · 1985
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The effect of abo blood group on the diagnosis of von willebrand disease
J Cox Gill, Janet Endres-Brooks, Patricia J Bauer, William J Marks Jr, and Robert R Montgomery · 1987
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Increasing voting behavior by asking people if they expect to vote
Anthony G Greenwald, Catherine G Carnot, Rebecca Beach, and Barbara Young · 1987
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Economic and political explanations of human rights violations
Neil J Mitchell and James M McCormick · 1988
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Democracy and civil war: A note on the democratic peace proposition
Matthew Krain and Marissa Edson Myers · 1997
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Regularization and variable selection via the elastic net
Hui Zou and Trevor Hastie · 2005
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Privacy, accuracy, and consistency too: a holistic solution to contingency table release
Boaz Barak, Kamalika Chaudhuri, Cynthia Dwork, Satyen Kale, Frank McSherry, and Kunal Talwar · 2007
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Mechanism design via differential privacy
Differentially private graphical degree sequences and synthetic graphs
Vishesh Karwa and Aleksandra Slavković · 2012
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An adaptive mechanism for accurate query answering under differential privacy
Chao Li and Gerome Miklau · 2012
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On the Distribution of Quadratic Expressions in Various Types of Random Vectors
Ali Akbar Mohsenipour · 2012
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Privacy-preserving data exploration in genome-wide association studies
Aaron Johnson and Vitaly Shmatikov · 2013
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Privacy-preserving data sharing for genome-wide association studies
Caroline Uhler, Aleksandra Slavkovic, and Stephen E. Fienberg · 2013
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Dual query: Practical private query release for high dimensional data
Marco Gaboardi, Emilio Jesús Gallego Arias, Justin Hsu, Aaron Roth, and Zhiwei Steven Wu · 2014
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Frank McSherry and Kunal Talwar · 2007
Cited alongside, same era.
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
Cited alongside, same era.
Differential privacy for clinical trial data: Preliminary evaluations
Duy Vu and Aleksandra Slavkovic · 2009
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Differential privacy and the risk-utility tradeoff for multi-dimensional contingency tables
Stephen E. Fienberg, Alessandro Rinaldo, and Xiaolin Yang · 2010
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Optimizing linear counting queries under differential privacy
Chao Li, Michael Hay, Vibhor Rastogi, Gerome Miklau, and Andrew McGregor · 2010
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A statistical framework for differential privacy
Larry Wasserman and Shuheng Zhou · 2010
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Privacy-preserving statistical estimation with optimal convergence rates
Adam Smith · 2011
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Essentials of Statistics
M.F. Triola · 2014
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Scalable privacy-preserving data sharing methodology for genome-wide association studies: an application to idash healthcare privacy protection challenge
Fei Yu and Zhanglong Ji · 2014
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Scalable privacy-preserving data sharing methodology for genome-wide association studies
Fei Yu, Stephen E. Fienberg, Aleksandra B. Slavkovic, and Caroline Uhler · 2014
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Maximum likelihood postprocessing for differential privacy under consistency constraints
Jaewoo Lee, Yue Wang, and Daniel Kifer · 2015
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Differentially Private Hypothesis Testing, Revisited
Y. Wang, J. Lee, and D. Kifer · 2015
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Inference using noisy degrees: Differentially private β \beta -model and synthetic graphs
Vishesh Karwa and Aleksandra Slavković · 2016
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Realizing privacy preserving genome-wide association studies
Sean Simmons and Bonnie Berger · 2016
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