Showing posts with label Statistical Models. Show all posts
Showing posts with label Statistical Models. Show all posts
Wednesday, July 31, 2013

General versus particular cases

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Andrew Gelman did a very interesting article in Slate on how being overly reliant on statistical significance can lead to spurious findings...
1 comment:
Monday, March 11, 2013

Some epidemiology for a change

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John Cook has an interesting point : When you reject a data point as an outlier, you’re saying that the point is unlikely to occur again, ...
4 comments:
Tuesday, July 12, 2011

Modeling assumptions

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From Matt Yglesias: I’ll note, however, that you might be a freshwater economist if you think it makes sense to reassure us that a deflation...
Friday, July 8, 2011

Case Crossover paper and time trends

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There was a new paper e-published recently in Pharmacoepidmeiology and Drug safety that used the case-crossover study design: "Purpose ...
Thursday, July 7, 2011

Transformations

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Frances Woolley has a post on the use of the inverse hyperbolic sine transformation for handling wealth as a variable (skewed and with lots...
3 comments:
Thursday, April 14, 2011

Prediction is hard

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President George W. Bush in 2001 : Many of you have talked about the need to pay down our national debt. I listened, and I agree. We owe it...
Monday, August 30, 2010

Sentences to ponder

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We always talk about a model being "useful" but the concept is hard to quantify. -- Andrew Gelman This really does match my experi...