Posts Tagged ‘ Significance ’

Capriciousness of little health benefits

May 15, 2018
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Capriciousness of little health benefits

Kaiser Fung, author of Numbersense and founder of Principal Analytics Prep, explains why he doesn't care about health benefits of most foods and activities reported and recommended by the media.

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Why No Exact Permutation Tests at Scale?

February 1, 2018
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Why No Exact Permutation Tests at Scale?

Here at Win-Vector LLC we like permutation tests. Our team has written on them (for example: How Do You Know if Your Data Has Signal?) and they are used to estimate significances in our sigr and WVPlots R packages. For example permutation methods are used to estimate the significance reported in the following ROC plot. … Continue reading Why No Exact Permutation Tests at Scale?

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Power pose relapse

January 31, 2018
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Power pose relapse

Kaiser Fung, founder of Principal Analytics Prep and author of Numbersense, discusses yet another attack on his article with Andrew Gelman on the disproven science of "power pose."

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Power pose relapse

January 31, 2018
By
Power pose relapse

Kaiser Fung, founder of Principal Analytics Prep and author of Numbersense, discusses yet another attack on his article with Andrew Gelman on the disproven science of "power pose."

Read more »

A/B Testing Primer and the DEED framework

November 14, 2017
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Kaiser Fung, founder of Principal Analytics Prep and the Master of Science in Applied Analytics at Columbia, gives a short lecture on A/B testing for Harvard Business Review on Facebook Live.

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A/B Testing Primer and the DEED framework

November 14, 2017
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Kaiser Fung, founder of Principal Analytics Prep and the Master of Science in Applied Analytics at Columbia, gives a short lecture on A/B testing for Harvard Business Review on Facebook Live.

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My letter to the New York Times is published

November 6, 2017
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Kaiser Fung, founder of Principal Analytics Prep and author of Numbersense, reacts to the New York TImes Magazine article on Amy Cuddy and the power pose research program. He offers a guide to the controversy around the interpretation of data in social psychology experiments.

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Remember: p-values Are Not Effect Sizes

September 9, 2017
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Remember: p-values Are Not Effect Sizes

Authors: John Mount and Nina Zumel. The p-value is a valid frequentist statistical concept that is much abused and mis-used in practice. In this article I would like to call out a few features of p-values that can cause problems in evaluating summaries. Keep in mind: p-values are useful and routinely taught correctly in statistics, … Continue reading Remember: p-values Are Not Effect Sizes

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Gelman digested read

August 16, 2017
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It's hard to keep up with Andrew Gelman, so let me point to some interesting recent posts from his blog. Readings on philosophy of statistics (link): Andrew has a bunch of links of (mostly his own) writings about deep statistical issues. Science is about understanding how the world works, which involves questions of cause and effect, and randomness and unexplained variability. Data that can be observed are almost never sufficient…

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If you are using Facebook Ads split testing (A/B testing), stop fooling yourself

July 26, 2017
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Kaiser Fung, founder of Principal Analytics Prep, and former director of Applied Analytics at Columbia University, explains why you can't run proper A/B tests on Facebook

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