Clinical Research and Statistics - Introduction To Biases and How We Can Identify Them

WhiteBoard style discussion on research biases. This will be an introductory video on biases in research studies. Understanding biases is critical to knowing if and how a study conclusion can be utilized and applied to a population of patients. We will discuss the different areas in which biases can arise in studies ranging from data collection to data analysis to data interpretation to publication. Being able to read and digest a research study with a positive result means being able to identify areas of biases within the study. By doing so, only then can one decide upon the true utility of a study!
Link to articles used:
(1) www.ncbi.nlm.n...
(2) www.ncbi.nlm.n...
**Clinical Research Series**
Clinically Meaningful Outcomes, What Are They And Why Do They Matter?
• Clinical Research and ...
Different Types Of Research Study Structures Explained
• Clinical Research and ...
Introduction To Biases In Research, How We Can Identify Them
• Clinical Research and ...
P-Values - What Are They And How To Interpret Them?
• Clinical Research and ...
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DISCLAIMER THIS VIDEO DOES NOT PROVIDE MEDICAL ADVICE. The information, including but not limited to, text, graphics, images and other material contained on this website are for informational purposes only. No material on this site is intended to be a substitute for professional medical advice, diagnosis or treatment. Always seek the advice of your physician or other qualified health care provider with any questions you may have regarding a medical condition or treatment and before undertaking a new health care regimen, and never disregard professional medical advice or delay in seeking it because of something you have read, watched, or listened to on this video, or any other videos, reports, texts tweets or other sources.
#clinicalresearch #biases #research #medicine #medicaleducation

[@paulelkins425]

Excellent info on common research BIASES! I loved the quote "If you torture data long enough, it will confess."
In fact it resonated so much I had to find it's origin. Here is a link with background on this quote by Ronald Coarse. As a bonus the article includes additional profound quotes too.
towardsdatascience.com/7-data-science-quotes-to-remember-e9b9da55f5e8

[@WhiteboardMedicine]

That is fantastic! Thanks for sharing!

[@christopherrobinson7541]

Thank you for the succinct presentation of two well written and interesting peer reviewed papers.

[@WhiteboardMedicine]

Thanks for checking out the video and for those kind words!