High Statistical Power Can Be Deceiving

By Zad | July 23, 2018

Most studies aim to achieve high statistical power and precision by increasing sample sizes. Many researchers will conclude that there is no effect if they get a nonsignificant result in a high-powered study. In this post, I discuss why this is incorrect.

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Chocolate Milk is Delicious, Not Magic

By Zad | July 15, 2018

A look at the results of a systematic review and meta-analysis that have been interpreted as evidence for the benefits of chocolate milk consumption.

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Spotting Predatory Journals

By Zad | July 3, 2018

Predatory journals often seem like normal scientific journals that promise rapid publication and low-cost fees. Unfortunately, many of these journals are too good to be true. In this post, I take a look at predatory journals, their characteristics, and how one can identify them.

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Seductive Surrogates Can Be Deadly

By Zad | June 25, 2018

A post explaining what surrogate markers are, why we sometimes focus on them as primary outcomes, and why this isn’t always a good idea.

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Statistical Errors of Low-Carb Researchers

By Zad | June 23, 2018

There are several individuals in the nutrition sphere who critically assess scientific studies and have large followings. Unfortunately, many of their assessments are flawed and based on a poor understanding of statistics. Here, I take a look at some erroneous statements.

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