If you’re going to run a test on rabbits, you have to decide how many rabbits you’ll use. This is…

Continue Reading# effect

## Star-crossed lovers

A story in The New Yorker quotes the following explanation from Arthur Eddington regarding relativity and the speed of light.…

Continue Reading## False discovery rate, Type-M and Type-S errors in an underpowered A/B test

If we interpreted the p-value as: “Given that the true difference between two versions is zero, probability of observing the…

Continue Reading## G-computation in Causal Inference

G-computation in Causal InferenceA counterfactual method for causal inferenceYao YangBlockedUnblockFollowFollowingJun 9In my previous post ‘Targeted Maximum Likelihood (TMLE) for Causal…

Continue Reading## Master Your Hypothesis Test: A tutorial on Power, Bootstrapping, Sample Selection, and Outcome Analysis.

This is a very nice sanity check, and the formula also gives us a P-Value. 6. Evaluating our P-ValueWhen we…

Continue Reading## Learn the basics of React Hooks in <10 minutes

const [count, setCount] = useState(0); const handleClick = () => { setCount(count + 1) } return ( <div> <h3 className="center">Welcome…

Continue Reading## Applied multi-level model on panel data in MLB promotion marketing

The answer is likely to be bobblehead giveaways. Since 1999, promotional departments of MLB teams have been using these little…

Continue Reading## Evaluating bobblehead promotion in MLB: an application of multi-level model on panel data

The answer is likely to be bobblehead giveaways. Since 1999, promotional departments of MLB teams have been using these little…

Continue Reading## Finally, a CSS only solution to :hover on touchscreens

I’d rather not worry about this during development. One would think that the JS community has a package ready and…

Continue Reading## 8 useful CSS tricks: Parallax images, sticky footers and more

';}ul. incomplete li::before { content: '☐ ';;}Bonus Use: Navigation BreadcrumbsThere are many more useful ways to take advantage of the…

Continue Reading## Modeling Telecom Customer Churn with Variational Autoencoder

Photo credit: PixabayModeling Telecom Customer Churn with Variational AutoencoderHow to apply deep convolutional neural networks and auto-encoders for building a churn…

Continue Reading## Introducing DoWhy

Introducing DoWhyMicrosoft’s Framework for Causal InferenceJesus RodriguezBlockedUnblockFollowFollowingFeb 6The human mind has a remarkable ability to associate causes with a specific…

Continue Reading## Improving Experimentation Efficiency at Netflix with Meta Analysis and Optimal Stopping

Improving Experimentation Efficiency at Netflix with Meta Analysis and Optimal StoppingNetflix Technology BlogBlockedUnblockFollowFollowingJan 31By Gang Su & Ian YohaiFrom living rooms…

Continue Reading## Should you even do a hypothesis test?

Or, to elaborate slightly, “no, you should look at effect sizes and the precision of your estimate”.Let’s look at what…

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