Analyzing Experiment Outcomes: Beyond Average Treatment Effects

Good #statistics article on why tail distribution and #experimentdesign matters. Quantile treatment effects (QTEs) helps to capture the inherent heterogeneity in treatment effects when riders and drivers interact within the #Uber marketplace.

Link: https://eng.uber.com/analyzing-experiment-outcomes/

​​Reimagining Experimentation Analysis at Netflix

Short article on how Netflix built A/B test culture and why they considered that a good resource investment.

Link: https://medium.com/netflix-techblog/reimagining-experimentation-analysis-at-netflix-71356393af21
More info on theirs A/B test platform: https://medium.com/netflix-techblog/its-all-a-bout-testing-the-netflix-experimentation-platform-4e1ca458c15

#Netflix #ExperimentDesign #AB