Secure Statistical Analysis of Distributed Databases, Emphasizing What We Don't Know

Secure Statistical Analysis of Distributed Databases, Emphasizing What We Don't Know

Over the past several years, the National Institute of Statistical Sciences (NISS) has developed methodology to perform statistical analyses that, in effect, integrate data in multiple, distributed databases, but without literally bringing the data together in one place. In this paper, we summarize that research, but focus on issues that are not understood. These include inability to perform ex...

Molecular approaches to diagnosis of invasive aspergillosis what we know and what we do not know.

Invasive aspergillosis (IA) are a major complication in immunocompromized patients where can be serious and rapidly fatal. Early diagnosis and early appropriate antifungal treatment is important in reducing mortality and morbidity. But despite many efforts to develop detection methods, the diagnosis of IA still remains challenging and current conventional methods are limited for adequate diagno...

Secure Statistical Analysis of Distributed Databases

A continuing need in the contexts of homeland security, national defense and counterterrorism is for statistical analyses that “integrate” data stored in multiple, distributed databases. There is some belief, for example, that integration of data from flight schools, airlines, credit card issuers, immigration records and other sources might have prevented the terrorist attacks of September 11, ...

Superior Capsule Reconstruction: What Do We Know?

The management of irreparable rotator cuff tears remains challenging. Since its introduction by Mihata in 2012, superiorcapsule reconstruction (SCR) has grown in popularity at an astonishingly rapid rate. The aim of this article is to providea comprehensive review of the available literature, in order to highlight what has so far been published on SCR,covering all aspects including biomechanica...

Do We Know What We Do not Know? A Response to Celine Bonnet