Established, experienced...and wrong

Effectiveness delusions - don't become a statistic!

To inoculate yourself against "significant" effects that might not improve health, have a look at papers by Ioannidis and Gotzsche. Want to know more about the risks of relying only on biomarkers? Here's an explanation of their pitfalls at PubMed Health.

As if data could speak for themselves...

Screening for disease - hoping for a miracle

Disappointment in early intervention, and the cycle begins anew: even earlier intervention in even more people who will mostly not get sick anyway. Read more about why starting the disease clock ticking earlier sometimes helps, but often doesn't:  http://1.usa.gov/xywTjg

Torturing the data - a cry from the heart

A take on a classic saying - can't face the data mining boom without it! You can read about the dangers of data analyses that weren't pre-planned and multiple testing (data dredging) here. Another important related read? Epidemiologist John Ioannidis' "Why most published research findings are false."