"MOST #Research findings are FALSE for most Research designs and fields" and "CLAIMED research findings may often be simply accurate measures of the prevailing BIAS"
The UGLY truth exposed by Ioannidis in 2005 https://t.co/KcPStXG2QJ
A must read for E-V-E-R-Y #Scientist. See👇🧵
"Instead of chasing statistical significance, we should improve our understanding of the range of R values where research efforts operate. Before running an experiment, investigators should consider what they believe the chances are that they are testing a non-true relationship."