List: Quasi-Experimentation In the Industry | Curated by Leihua Ye, PhD

Nov 15, 2023
49 stories
17 saves
Quasi-Experimentation In the IndustryQuasi-experimental and observational methods for causal inference
In
Mercado Libre Tech
by
Bruno Matarazzo
Harnessing the power of Geo-experimentation: How Mercado Libre measures the effectiveness of its…How Mercado Libre utilized GeoLift for geo-experimentation, to run more than 20 lift test per year for both its fintech and marketplace.
Jun 14, 2023
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Jun 14, 2023
1
In
Towards Data Science
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Matteo Courthoud
Understanding Instrumental VariablesHow to estimate causal effects when you cannot randomize treatment
Nov 13, 2023
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Nov 13, 2023
4
In
Shopify Data
by
Antoine Rebecq
How to Use Quasi-experiments and Counterfactuals to Build Great ProductsA/B tests aren’t the only tool to understand causality: quasi-experiments and counterfactuals are powerful tools for causal inference.
Sep 30, 2020
2
Sep 30, 2020
2
In
Expedia Group Technology
by
Andrew Reuben
Using Synthetic Search Data for Flights Price ForecastingExpedia Group’s method for ensuring clean and consistent pricing data for machine learning applications
Oct 3, 2023
Oct 3, 2023
In
Data Science at Microsoft
by
Andreas Stöffelbauer
Causal inference using synthetic controlsHow to estimate causal effects using Machine Learning instead of A/B testing
Apr 11, 2023
2
Apr 11, 2023
2
In
Expedia Group Technology
by
Jasmine Holdsworth
Market Segmentation for Geo-Testing at ScaleIncreasing experiment volumes and efficiency with a little preparation
Feb 28, 2023
1
Feb 28, 2023
1
In
GrabNGoInfo
by
Amy @GrabNGoInfo
One-to-one Matching on Confounders Using Python Package Causal InferenceBias-adjusted one-to-one and one-to-many matching on Confounders in python
Sep 6, 2022
Sep 6, 2022
In
Towards Data Science
by
Adrienne Kline
psmpy: Propensity Score Matching in Python!Performing propensity score matching in a python environment using a newly available library: psmpy (graphical plotting features…
Mar 21, 2022
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Mar 21, 2022
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In
The Startup
by
Dr. Lucky
Demystifying the inverse probability weighting methodA fairly simple and intuitive method for identifying the causal effects
Apr 10, 2020
3
Apr 10, 2020
3
Riddhiman Sherlekar
How to correctly select your unit of randomization in A/B Tests?The selection of the unit of Randomization aka the dimension or unique identifier by which we allocate samples to either treatment or…
Nov 15, 2022
1
Nov 15, 2022
1
Ujwal Kharel
Causal Inference Using Instrumental VariablesMaking confident inferences when direct experiments aren’t feasible.
Jul 16, 2021
2
Jul 16, 2021
2
Netflix Technology Blog
Netflix at MIT CODE 2022Netflix was proud to be the primary sponsor of the 2022 Conference on Digital Experimentation (CODE), hosted by the MIT Initiative on the…
Nov 10, 2022
Nov 10, 2022
In
Booking.com Data Science
by
Christina Katsimerou
Leveraging proxy variables for causal inferenceAuthors: Christina Katsimerou, Devini Senaratna, Camille Strasser
Jun 24, 2021
1
Jun 24, 2021
1
In
Towards Data Science
by
Aleix Ruiz de Villa
Propensity Scores and Inverse Probability Weighting in Causal InferenceA global overview
Feb 1, 2021
Feb 1, 2021
In
Lyft Engineering
by
John Kirn
Challenges in ExperimentationIn this post, we provide an overview of capabilities we have deployed and a preview of our plans for the future.
Apr 19, 2022
Apr 19, 2022
In
Netflix TechBlog
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Netflix Technology Blog
A Survey of Causal Inference Applications at NetflixAt Netflix, we want to entertain the world through creating engaging content and helping members discover the titles they will love. Key to…
May 21, 2022
3
May 21, 2022
3
In
Towards Data Science
by
Sachin Date
A Tutorial on White’s Heteroskedasticity Consistent Estimator Using Python and StatsmodelsHow to use the White’s heteroskedasticity consistent estimator using Python and statsmodels
Oct 6, 2022
1
Oct 6, 2022
1
In
tech-at-instacart
by
Xiaoding Krause
Geo-based AB Testing and Difference-in-Difference Analysis in Instacart CatalogIntroducing the engineering design and data science model behind the Catalog Team’s geo-based AB testing system.
Jun 2, 2022
1
Jun 2, 2022
1
In
Tubi Engineering
by
Noah Silbert
Switchback Experimentation at TubiMichael Berk, Max Dorofiyenko, and Noah Silbert, Tubi Data Science
Oct 20, 2022
Oct 20, 2022
In
Towards Data Science
by
Michael Berk
How to Optimize your Switchback A/B Test ConfigurationAn algorithm that determines the most effective randomization points for a switchback experiment.
Jun 8, 2021
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Jun 8, 2021
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