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Independent Teams

Posted by plosmedicine on 31 Mar 2009 at 00:14 GMT

Author: Grayson Palmer
Position: Student
Institution: UCSF
Submitted Date: October 03, 2007
Published Date: October 4, 2007
This comment was originally posted as a “Reader Response” on the publication date indicated above. All Reader Responses are now available as comments.

Dr. Ioannidis is correct in saying that as more researchers look into the same question that, by chance, researchers will obtain incorrect results. However this does not mean that most research findings are false. The chance of obtaining erroneous results is based on the P-value. The strength of research comes by meta-analysis of the "whole" of the research. Those who perform meta analysis’s realize there is erroneous research and place strict criteria to eliminate bias in all forms.

Also large randomized control studies are the best research possible because researchers are able to control variables and create double and even triple blind experiments to greatly reduce bias and even reveal actual cause and effect of variables not just correlation.

No competing interests declared.