Posts Tagged ‘ life sciences ’

Population health management with RevoScaleR

September 10, 2012
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This guest post is by Douglas McNair MD PhD, Engineering Fellow & President, Cerner Math Inc. -- ed. RevoScaleR scaling big-data modeling performance for real-time health data analysis at Cerner The size of data sets is increasing much more rapidly than the speed of cores, of RAM, and of disk drives. This is particularly true of electronic health records...

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FDA: R OK for drug trials

June 21, 2012
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FDA: R OK for drug trials

In a poster (PDF) presented at the UseR 2012 conference, FDA biostatistician Jae Brodsky reiterated the FDA policy regarding software used to prepare submissions for drug approvals with clinical trials: Sponsors may use R in their submissions. The FDA does not endorse or require any particular software to be used for clinical trial submissions, and there are no regulations...

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Thursday: Tweet-chat on Multiple Sclerosis research

May 7, 2012
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The story about the great work that SUNY Buffalo has been doing to find a cure for Multiple Sclerosis with Revolution R Enterprise and IBM Netezza has generated a lot of attention, with stories in Forbes, InformationWeek and eWeek (amongst others). To continue the discussion, IBM has put together a panel for a "Tweet Chat" on Thursday (May 10)...

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Big Data statistics in the search for a cure for MS

April 26, 2012
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Multiple Sclerosis (MS) is a debilitating and complex disease with an unknown cause — and for which there is currently no cure. The SUNY Buffalo is home to one of the leading multiple sclerosis (MS) research centers in the world, and as reported in Healthcare IT News, the research team is using IBM Netezza and Revolution R Enterprise to...

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Bad Science at Strata 2012

March 1, 2012
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Ben Goldacre, the physician and biostatistician behind the always-excellent Bad Science column in the Guardian, gave a barnburner of a talk at Strata 2012 yesterday, "The Information Architecture of Medicine is Broken". For anyone not aware of the problems caused by publication bias in clinical trials (for example, ineffective drugs with a wide variety of side-effects coming to market),...

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Why you should care about reproducible research

September 12, 2011
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This week's Economist has an in-depth article on the consequences of failures reproducible research, adding more detail to the report in the New York Times in July. Errors in data analysis by researchers at Duke University led to patients in clinical trials being assigned the wrong drug: Dr Potti and his colleagues had mislabelled the cell lines they used...

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useR! 2011 roundup

August 19, 2011
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useR! 2011 roundup

As I stand here at Heathrow waiting for my flight back to the States, I thought I'd dash off a few quick reflections of the userR! 2011 conference at University Warwick. It was an outstanding event. There's something about a conference of just a few hundred attendees (there were about 450) that creates a sense of camaraderie and common...

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IBM Netezza: Embrace open source analytics

July 22, 2011
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Earlier this month Thomas Dinsmore, solutions architect for IBM Netezza’s Advanced Analytics team, had a great blog post on why companies should embrace R as an analytics platform. He says: There are three main reasons R should be part of your enterprise analytics architecture: R has capabilities not available in commercial analytics software Usage of R by analysts is...

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NYT on the importance of reproducible research

July 8, 2011
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NYT on the importance of reproducible research

Yesterday's New York Times includes a great article on the failure of some genetic tests for cancer detection, and the flaws in the research that led to them. The article features quotes from Keith Baggerly of MD Anderson Cancer Center, and includes a photo of him and colleague Kevin Coombes in front of a page of R code: The...

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Five things Biologists should know about Statistics

June 21, 2011
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In a thoughtful blog post, Bioinformatician Ewan Birney (Head of Nucleotide Data at the European Bioinformatics Institute) talks about the importance of Statistics to biologists: Biology is really about stats. Indeed, the foundation of much of frequentist statistics - RA Fisher and colleagues - were totally motivated by biological problems. He also cites the "Five statistical things I wished...

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