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PAUL MASON 3’ | Randomized, Control Trials: Control for confounding variables…GOLD STANDARD
http://www.DoctorsToTrust.com
@doctorstotrust3552
presents episode 1209 | Dr Paul Mason
LowCarbDownUnder podcast
Whenever see 'link' or 'associated' then the study is
observational and CANNOT show causation
-survey research is highly suspect due to
-healthy user bias [trying to give surveyor what she wants]
-or poor memory over long period
Example:
pizza, hot dogs, hamburgers put into
'red meat' category— INVALID
Hamburger eaters likely also eating
sides of fries & coke—confounding!
Example: Hawaiian pizza: meat, veggie,
fruit, or??
Healthy user bias: non-meat eaters more likely to engage in
healthy non-diet behaviors...exercise, eat organic, sleep 8 hours
Randomized Control Trials [RCT] CAN CONTROL for effects
of confounders…
-subjects RANDOMLY assigned to 2 groups
-confounding variables are EVENLY DISTRIBUTED
-do not affect results
RCT is the GOLD STANDARD approach to health studies
-CAN show CAUSATION
BEST of BEST: Systematic Reviews [meta studies]
-when done with strict selection criteria
-can be comprehensive & valid
Studies must NOT use poor OUTCOME MEASURES…
[often done in vegan research]
-surrogate markers are often used [NOT VALID]
-best outcome measure? MORTALITY
COUNTER-EXAMPLE: LDL level
-assumed to be marker associated with dying
-Research shows this DOES NOT EXIST
Major BMJ meta-study of 68k people:
-higher LDL = less chance of DYING
"Use of LDL are health marker is
INDEFENSIBLE”
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doctorstotrust.com
Lowcarbdownunder.com.au
Original Youtube:
https://youtu.be/0b8Osg5MbfE?si=Pp7kooQN21tqWjng
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We will never use corruptible, epidemiological survey research as causal science.
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