| Literature DB >> 16267693 |
Alan F Karr1, Jun Feng, Xiaodong Lin, Ashish P Sanil, S Stanley Young, Jerome P Reiter.
Abstract
We present a method for performing statistically valid linear regressions on the union of distributed chemical databases that preserves confidentiality of those databases. The method employs secure multi-party computation to share local sufficient statistics necessary to compute least squares estimators of regression coefficients, error variances and other quantities of interest. We illustrate our method with an example containing four companies' rather different databases.Mesh：
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Year: 2005 PMID： 16267693 DOI： 10.1007/s10822-005-9011-5
Source DB: PubMed Journal: J Comput Aided Mol Des ISSN： 0920-654X Impact factor: 3.686