In previous posts on this blog covering the China Study II data we’ve looked at the competing effects of various foods, including wheat and ...
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Showing posts with label statistics. Show all posts
Showing posts with label statistics. Show all posts
Finding your sweet spot for muscle gain with HCE
exercise injuries,
HCE,
muscle gain,
resistance exercise,
statistics,
strength training,
supercompensation,
warppls
In order to achieve muscle gain, one has to repeatedly hit the “supercompensation” window, which is a fleeting period of time occurring at s...
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Why red meat consumption may appear unhealthy in scientific studies
There have been many academic articles in the past linking red meat intake with increased mortality, and there will be more in the future. ...
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HealthCorrelator for Excel 1.0 (HCE): Call for beta testers
This call is closed. Beta testing has been successfully completed. HealthCorrelator for Excel (HCE) is now publicly available for download ...
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Triglycerides, VLDL, and industrial carbohydrate-rich foods
carbohydrates,
cardiovascular disease,
cholesterol,
HCE,
LDL,
low carb,
statistics,
triglyceride,
VLDL
Below are the coefficients of association calculated by HealthCorrelator for Excel (HCE) for user John Doe. The coefficients of association ...
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Human traits are distributed along bell curves: You need to know yourself, and HCE can help
Most human traits (e.g., body fat percentage, blood pressure, propensity toward depression) are influenced by our genes; some more than othe...
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The China Study II: How gender takes us to the elusive and deadly factor X
The graph below shows the mortality in the 35-69 and 70-79 age ranges for men and women for the China Study II dataset. I discussed other re...
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The China Study II: Carbohydrates, fat, calories, insulin, and obesity
The “great blogosphere debate” rages on regarding the effects of carbohydrates and insulin on health. A lot of action has been happening rec...
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The China Study II: Gender, mortality, and the mysterious factor X
WarpPLS and HealthCorrelator for Excel were used to do the analyses below. For other China Study analyses, many using WarpPLS as well as H...
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Aging and cancer: The importance of taking a hard look at the numbers
The table below is from a study by Hayat and colleagues ( ). It illustrates one common trend regarding cancer – it increases dramatically i...
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The China Study II: Animal protein, wheat, and mortality … there is something odd here!
WarpPLS and HealthCorrelator for Excel were used in the analyses below. For other China Study analyses, many using WarpPLS and HealthCorre...
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