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Updated Sep. 1, 2010
 
 
STATISTICALLY SPEAKING
This section contains reviews of various topics in medical statistics written by Ivan Oransky, MD. Dr. Oransky is deputy editor of The Scientist and is a regular contributor to The Lancet. He is also an adjunct professor at New York University, where he teaches medical journalism. Dr. Oransky welcomes your feedback at ivan-oransky@erols.com.
A Statistical OASIS
ISSUE: MAY, 2007
A reader raises questions about a large cardiology trial. Are his concerns valid? read more
What Baseball Teaches Us About Medical Statistics
ISSUE: APRIL, 2007
There are lots of ways a study can make it look as though a drug performs better than it would in real-life clinical practice. It can give competing drugs short shrift by providing lower doses of the competitors than doctors actually prescribe. (Think of the umpire forcing hitters to use half-size bats while facing me.) read more
A Statistical Giant
The life work of C. Frederick Mosteller, PhD
ISSUE: MARCH, 2007
We all—even statistics columnists—stand on the shoulders of giants. I was reminded of that by the death of C. Frederick Mosteller, PhD, last July at the age of 89. read more
The Moral Problem of Equivalence Studies
What A Recent Set of Results Using a New Anticoagulant Says About Modern Clinical Trial Design
ISSUE: SEPTEMBER, 2006
If you’ve ever treated a patient with atrial fibrillation, you may have followed with interest the trials of ximelagatran, an oral direct thrombin inhibitor. After all, an alternative to warfarin with fewer side effects would be a good thing. read more
Just How Big Should a Study Be Before You Pay Attention to It?
Why Size Matters
ISSUE: AUGUST, 2006
One of the questions I'm almost always asked when I give talks on statistics, whether to journalists or physicians, is how large a study has to be before it should be considered worth writing about or making treatment decisions on. read more
Show Me The Data! Part 2
ISSUE: DECEMBER, 2005
If you're confused about whether Vioxx caused heart attacks, you're not alone. Here's a guide to interpreting data that used to be hidden from view. read more
Show Me the Data!
ISSUE: NOVEMBER, 2005
If you’re confused about whether SSRIs cause suicide in children, you’re not alone. Here’s a guide to data that have recently come to light. read more
What You Can Learn From the Drug Development Process---And What You Can't
ISSUE: SEPTEMBER, 2005 read more

MORE
STATISTICALLY SPEAKING
The 5% Solution to Reading Medical Studies With Co... [6/2005]
Ask the Expert: Deciphering P Values... [6/2005]
Numbers You Need To Treat, To Harm–and To Understa... [4/2005]
Risk: It’s All Relative. Absolutely.... [2/2005]


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