List: Experimentation and Causal Inference | Curated by Leihua Ye, PhD

Jul 30, 2024
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Experimentation and Causal Inference
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Netflix TechBlog
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Netflix Technology Blog
Round 2: A Survey of Causal Inference Applications at NetflixAt Netflix, we want to ensure that every current and future member finds content that thrills them today and excites them to come back for…
Jun 6, 2024
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Jun 6, 2024
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TDS Archive
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Leihua Ye, PhD
8 Common Pitfalls of Running A/B TestsHow not  to fail your online controlled experimentation
Feb 22, 2021
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Feb 22, 2021
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TDS Archive
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Leihua Ye, PhD
An A/B Test Loses Its Luster If A/A Tests FailA statistical approach to A/A tests
Jul 9, 2021
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Jul 9, 2021
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TDS Archive
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Leihua Ye, PhD
A Practical Guide To A/B Tests in PythonBest practices that data scientists should follow pre-, during-, and after- experiments
Jul 1, 2021
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Jul 1, 2021
2
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TDS Archive
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Leihua Ye, PhD
How User Interference May Mess Up Your A/B Tests?Three solutions from Lyft, LinkedIn, and Doordash
Jun 24, 2021
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Jun 24, 2021
2
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TDS Archive
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Leihua Ye, PhD
A Practitioner’s Guide To Difference-In-Differences ApproachA replication of Card and Krueger’s NBER Paper: “Wage Goes Up, Employment Goes Down?”
Oct 27, 2019
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Oct 27, 2019
2
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TDS Archive
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Leihua Ye, PhD
Propensity Score Stratification in Observational Data: A TutorialA better alternative to Propensity Score Matching
Aug 14, 2021
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Aug 14, 2021
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TDS Archive
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Leihua Ye, PhD
An Ultimate Guide to Matching and Propensity Score MatchingHow to reduce the effects of confounding in observational data
Jun 18, 2021
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Jun 18, 2021
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TDS Archive
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Leihua Ye, PhD
Regression Discontinuity Design: The Crown Jewel of Causal InferenceA complete guide to RDD with R codes
Nov 9, 2019
Nov 9, 2019
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TDS Archive
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Leihua Ye, PhD
Causal Inference Using Synthetic Control: The Ultimate GuideCan we do causal inference using only one treated case and a handful of control cases?
Dec 27, 2019
Dec 27, 2019
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TDS Archive
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Leihua Ye, PhD
A Practitioner’s Guide To Interrupted Time SeriesBasics, Assumptions, Merits, Limitations, and Applications
Nov 21, 2019
Nov 21, 2019
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TDS Archive
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Leihua Ye, PhD
Multiple Comparison: A Common Pitfall for A/B TestingData Scientists are cool!
Jan 21, 2022
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Jan 21, 2022
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TDS Archive
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Leihua Ye, PhD
Randomization, Blocking, and Re-RandomizationThree fundamental pillars for online experimentation
Nov 22, 2021
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Nov 22, 2021
2
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TDS Archive
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Leihua Ye, PhD
What Are Natural Experiments?Methods, Approaches, and Applications
Nov 21, 2019
Nov 21, 2019
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TDS Archive
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Leihua Ye, PhD
Data Scientists Should Run More Experiments For Good ReasonsThe Good, the Bad, and the Ugly
Sep 29, 2019
Sep 29, 2019
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TDS Archive
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Leihua Ye, PhD
Correlation Does Not Imply Causation. Now What?The turf war between causality and correlation in Data Science
Oct 15, 2019
Oct 15, 2019