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Technometrics Volume 49, 2007 - Issue 3
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Primary Article

Secure, Privacy-Preserving Analysis of Distributed Databases

Alan F Karr National Institute of Statistical Sciences, Research Triangle Park, NC 27709 , , ,
,
William J Fulp National Institute of Statistical Sciences, Research Triangle Park, NC 27709 , , ,
,
Francisco Vera National Institute of Statistical Sciences, Research Triangle Park, NC 27709 , , ,
,
S. Stanley Young National Institute of Statistical Sciences, Research Triangle Park, NC 27709 , , ,
,
Xiaodong Lin Department of Mathematical Sciences, University of Cincinnati, Cincinnati, OH 45221
&
Jerome P Reiter Department of Statistical Science, Duke University, Durham, NC 27708
Pages 335-345 | Published online: 01 Jan 2012

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Ziyi Li, Yu Shen & Jing Ning. (2023) Accommodating Time-Varying Heterogeneity in Risk Estimation under the Cox Model: A Transfer Learning Approach. Journal of the American Statistical Association 0:0, pages 1-12.
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Articles from other publishers (39)

Dongdong Li, Wenbin Lu, Di Shu, Sengwee Toh & Rui Wang. (2023) Distributed Cox proportional hazards regression using summary-level information. Biostatistics 24:3, pages 776-794.
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Erica E. M. Moodie, Janie Coulombe, Coraline Danieli, Christel Renoux & Susan M. Shortreed. (2022) Privacy-preserving estimation of an optimal individualized treatment rule: a case study in maximizing time to severe depression-related outcomes. Lifetime Data Analysis 28:3, pages 512-542.
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Qoua Her, Thomas Kent, Yuji Samizo, Aleksandra Slavkovic, Yury Vilk & Sengwee Toh. (2021) Automatable Distributed Regression Analysis of Vertically Partitioned Data Facilitated by PopMedNet: Feasibility and Enhancement Study. JMIR Medical Informatics 9:4, pages e21459.
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Di Shu, Kazuki Yoshida, Bruce H Fireman & Sengwee Toh. (2019) Inverse probability weighted Cox model in multi-site studies without sharing individual-level data. Statistical Methods in Medical Research 29:6, pages 1668-1681.
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Xiaoxia Dong, Jie Chen, Kai Zhang & Haifeng Qian. (2020) Privacy-Preserving Locally Weighted Linear Regression Over Encrypted Millions of Data. IEEE Access 8, pages 2247-2257.
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Di Shu, Jessica G. Young & Sengwee Toh. (2019) Privacy-protecting estimation of adjusted risk ratios using modified Poisson regression in multi-center studies. BMC Medical Research Methodology 19:1.
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Sengwee Toh, Nicole Pratt, Olaf Klungel, Joshua J. Gagne & Robert W. Platt. 2019. Pharmacoepidemiology. Pharmacoepidemiology 617 638 .
Andrés F. Barrientos, Alexander Bolton, Tom Balmat, Jerome P. Reiter, John M. de Figueiredo, Ashwin Machanavajjhala, Yan Chen, Charley Kneifel & Mark DeLong. (2018) Providing access to confidential research data through synthesis and verification: An application to data on employees of the U.S. federal government. The Annals of Applied Statistics 12:2.
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Joshua Snoke, Timothy R. Brick, Aleksandra Slavković & Michael D. Hunter. (2018) Providing accurate models across private partitioned data: Secure maximum likelihood estimation. The Annals of Applied Statistics 12:2.
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Mortaza S. Bargh, Marco Vink & Sunil Choenni. 2018. Information Systems Security and Privacy. Information Systems Security and Privacy 173 196 .
Kassaye Yitbarek Yigzaw, Antonis Michalas & Johan Gustav Bellika. (2017) Secure and scalable deduplication of horizontally partitioned health data for privacy-preserving distributed statistical computation. BMC Medical Informatics and Decision Making 17:1.
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P. Saha-Chaudhuri & C.R. Weinberg. (2017) Addressing data privacy in matched studies via virtual pooling. BMC Medical Research Methodology 17:1.
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Vijay Maruti Shelake & Narendra Shekokar. (2017) A survey of privacy preserving data integration. A survey of privacy preserving data integration.
Paul Laird, Sarah Jane Delany & Pierpaolo Dondio. (2017) Multiparty computations in varying contexts. Multiparty computations in varying contexts.
Justin Bohn, Wesley Eddings & Sebastian Schneeweiss. (2017) Conducting Privacy-Preserving Multivariable Propensity Score Analysis When Patient Covariate Information Is Stored in Separate Locations. American Journal of Epidemiology 185:6, pages 501-510.
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Haoyi Shi, Chao Jiang, Wenrui Dai, Xiaoqian Jiang, Yuzhe Tang, Lucila Ohno-Machado & Shuang Wang. (2016) Secure Multi-pArty Computation Grid LOgistic REgression (SMAC-GLORE). BMC Medical Informatics and Decision Making 16:S3.
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Alan F. Karr. (2016) Data Sharing and Access. Annual Review of Statistics and Its Application 3:1, pages 113-132.
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Joshua Snoke, Timothy Brick & Aleksandra Slavković. 2016. Privacy in Statistical Databases. Privacy in Statistical Databases 190 209 .
Anthony J. Brookes & Peter N. Robinson. (2015) Human genotype–phenotype databases: aims, challenges and opportunities. Nature Reviews Genetics 16:12, pages 702-715.
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Paul R. Burton, Madeleine J. Murtagh, Andy Boyd, James B. Williams, Edward S. Dove, Susan E. Wallace, Anne-Marie Tassé, Julian Little, Rex L. Chisholm, Amadou Gaye, Kristian Hveem, Anthony J. Brookes, Pat Goodwin, Jon Fistein, Martin Bobrow & Bartha M. Knoppers. (2015) Data Safe Havens in health research and healthcare. Bioinformatics 31:20, pages 3241-3248.
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Jan Luts. (2015) Real-Time Semiparametric Regression for Distributed Data Sets. IEEE Transactions on Knowledge and Data Engineering 27:2, pages 545-557.
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K. Chida, G. Morohashi, H. Fuji, F. Magata, A. Fujimura, K. Hamada, D. Ikarashi & R. Yamamoto. (2014) Implementation and evaluation of an efficient secure computation system using 'R' for healthcare statistics. Journal of the American Medical Informatics Association 21:e2, pages e326-e331.
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Alan F. Karr & Jerome P. Reiter. 2014. Privacy, Big Data, and the Public Good. Privacy, Big Data, and the Public Good 276 295 .
Dany Doiron, Paul Burton, Yannick Marcon, Amadou Gaye, Bruce H R Wolffenbuttel, Markus Perola, Ronald P Stolk, Luisa Foco, Cosetta Minelli, Melanie Waldenberger, Rolf Holle, Kirsti Kvaløy, Hans L Hillege, Anne-Marie Tassé, Vincent Ferretti & Isabel Fortier. (2013) Data harmonization and federated analysis of population-based studies: the BioSHaRE project. Emerging Themes in Epidemiology 10:1.
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Elinor M. Jones, Nuala A. Sheehan, Amadou Gaye, Philippe Laflamme & Paul Burton. (2013) Combined analysis of correlated data when data cannot be pooled. Stat 2:1, pages 72-85.
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Shuang Wang, Xiaoqian Jiang, Yuan Wu, Lijuan Cui, Samuel Cheng & Lucila Ohno-Machado. (2013) EXpectation Propagation LOgistic REgRession (EXPLORER): Distributed privacy-preserving online model learning. Journal of Biomedical Informatics 46:3, pages 480-496.
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Dany Doiron, Parminder Raina & Isabel Fortier. (2013) Linking Canadian Population Health Data: Maximizing the Potential of Cohort and Administrative Data. Canadian Journal of Public Health 104:3, pages e258-e261.
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Khaled El Emam, Saeed Samet, Luk Arbuckle, Robyn Tamblyn, Craig Earle & Murat Kantarcioglu. (2013) A secure distributed logistic regression protocol for the detection of rare adverse drug events. Journal of the American Medical Informatics Association 20:3, pages 453-461.
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V. Nikolaenko, U. Weinsberg, S. Ioannidis, M. Joye, D. Boneh & N. Taft. (2013) Privacy-Preserving Ridge Regression on Hundreds of Millions of Records. Privacy-Preserving Ridge Regression on Hundreds of Millions of Records.
Renren Dong & Ray Kresman. 2013. Software and Data Technologies. Software and Data Technologies 191 202 .
Guillermo Navarro-Arribas & Vicenç Torra. (2012) Information fusion in data privacy: A survey. Information Fusion 13:4, pages 235-244.
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M. Wolfson, S. E. Wallace, N. Masca, G. Rowe, N. A. Sheehan, V. Ferretti, P. LaFlamme, M. D. Tobin, J. Macleod, J. Little, I. Fortier, B. M. Knoppers & P. R. Burton. (2010) DataSHIELD: resolving a conflict in contemporary bioscience--performing a pooled analysis of individual-level data without sharing the data. International Journal of Epidemiology 39:5, pages 1372-1382.
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Shantanu Rane, Wei Sun & Anthony Vetro. (2009) Secure function evaluation based on secret sharing and homomorphic encryption. Secure function evaluation based on secret sharing and homomorphic encryption.
Jerome P. Reiter. (2009) Using Multiple Imputation to Integrate and Disseminate Confidential Microdata. International Statistical Review 77:2, pages 179-195.
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Christine N. Kohnen & Jerome P. Reiter. (2009) Multiple Imputation for Combining Confidential Data Owned by Two Agencies. Journal of the Royal Statistical Society Series A: Statistics in Society 172:2, pages 511-528.
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Stephen E. Fienberg, Yuval Nardi & Aleksandra B. Slavković. 2009. Protecting Persons While Protecting the People. Protecting Persons While Protecting the People 82 94 .
Aleksandra B. Slavkovic, Yuval Nardi & Matthew M. Tibbits. (2007) "Secure" Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases. "Secure" Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases.
Joyee Ghosh, Jerome P. Reiter & Alan F. Karr. (2007) Secure computation with horizontally partitioned data using adaptive regression splines. Computational Statistics & Data Analysis 51:12, pages 5813-5820.
Crossref
Ruoxuan Xiong, Allison Koenecke, Michael Powell, Zhu Shen, Joshua T. Vogelstein & Susan Carleton Athey. (2021) Federated Causal Inference in Heterogeneous Observational Data. SSRN Electronic Journal.
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