Category Archives: Science

Higgs Boson

The Higgs Boson explained by PhD Comics

The question they seem to keep coming back to is: “What’s in the data?”  Statistics seems to be everywhere…

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The Five Misconceptions About Teaching Math and Science

The Five Misconceptions About Teaching Math and Science

 

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Which Nations Consume the Most Water?

Which Nations Consume the Most Water? via Chartporn.org

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U.S. Breweries: A Map

Map of 1000 US Breweries via chartporn.org

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Gelman: Massive confusion about a study that purports to show that exercise may increase heart risk

Massive confusion about a study that purports to show that exercise may increase heart risk

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NPR: With PSA Testing, The Power Of Anecdote Often Trumps Statistics

With PSA Testing, The Power Of Anecdote Often Trumps Statistics

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The size of things

http://htwins.net/scale2/

 

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Gelman: Advice on writing research articles

Advice on writing research articles

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A Sharp Rise in Retractions Prompts Calls for Reform

A Sharp Rise in Retractions Prompts Calls for Reform

Nan Laird is speaking at Smith College today. Go.

Nan Laird is speaking at Smith College today at 5pm.  You should probably go to this.

Finding Genetic Markers for Disease: Some Challenges and Opportunities for Biostatisticians, Thursday, March 15, 5 p.m., McConnell B15

Nan Laird, Professor of Public Health and Biostatistics, Harvard School of Public Health. In the relatively short time span of less than 10 years, association analysis has become the primary study design for finding genes underlying complex disorders. Genome Wide Association Studies have discovered hundreds of new genetic markers which predict disease. Early successes with association analysis led to great excitement about the promise of GWAS for understanding the genetic basis of complex disease. Although the number of GWAS studies has proliferated rapidly, replications are often disappointing and Meta-Analysis has become an essential part of the process of gene discovery. This talk will review some features of GWAS that offer challenges and opportunities for Biostatisticians.

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