Matteo Courthoud – Medium

Matteo Courthoud

Published in

Clustered Standard Errors in AB Tests

What to do when the unit of observation differs from the unit of randomization

Mar 17, 2024

Clustered Standard Errors in AB Tests

Mar 17, 2024

Published in

Understanding Group Sequential Testing

How to run valid experiments, with peeking and early stopping.

Dec 26, 2023

Understanding Group Sequential Testing

Dec 26, 2023

Published in

Understanding Instrumental Variables

How to estimate causal effects when you cannot randomize treatment

Nov 13, 2023

Understanding Instrumental Variables

Nov 13, 2023

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Beyond Churn Prediction and Churn Uplift

How to best target policies in the presence of churn

Jul 25, 2023

Beyond Churn Prediction and Churn Uplift

Jul 25, 2023

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Evaluating Uplift Models

How to compare and pick the best uplift model

Jul 13, 2023

Evaluating Uplift Models

Jul 13, 2023

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From Causal Trees to Forests

How to use random forests to do policy targeting

Feb 20, 2023

From Causal Trees to Forests

Feb 20, 2023

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Understanding Causal Trees

Feb 3, 2023

Understanding Causal Trees

Feb 3, 2023

Published in

Bayesian AB Testing

Using and choosing priors in randomized experiments.

Jan 10, 2023

Bayesian AB Testing

Jan 10, 2023

Published in

Experiments on Returns on Investment

An introduction to the delta method for inference on ratio metrics.

Dec 29, 2022

Experiments on Returns on Investment

Dec 29, 2022

Published in

Mean vs Median Causal Effect

An introduction to quantile regression in A/B tests

Oct 10, 2022

Mean vs Median Causal Effect

Oct 10, 2022

Matteo Courthoud

Matteo Courthoud

Data Scientist, Economist, Researcher. Linkedin: www.linkedin.com/in/matteo-courthoud

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