CausalLift: Python package for Uplift Modeling in real-world business

medium.com/@Minyus86/causallift-python-package-for-uplift-modeling-in-real-world-business-e60264812a26

Propensity Scores and Inverse Probability Weighting in Causal Inference

towardsdatascience.com/propensity-scores-and-inverse-probability-weighting-in-causal-inference-97aa53f3b6ce

13 - Difference-in-Differences — Causal Inference for the Brave and True

matheusfacure.github.io/python-causality-handbook/13-Difference-in-Differences.html

Introduction To 2-Stage Least Squares (2SLS) Estimation

timeseriesreasoning.com/contents/two-stage-least-squares-estimation/

RPubs - Propensity Score Matching

rpubs.com/YungYuTsai/CCP_PSM

(PDF) Propensity Scores: A Practical Introduction Using R

www.researchgate.net/publication/283859467_Propensity_Scores_A_Practical_Introduction_Using_R

Project MUSE - The Central Role of the Propensity Score in Sensitivity Analysis for Matched Observational Studies

muse.jhu.edu/article/877884

Sensitivity Analysis for Average Treatment Effects

journals.sagepub.com/doi/epdf/10.1177/1536867X0700700104

Propensity Score Matching: What Can Go Wrong?

www.causalflows.com/propensity-score-matching-threats/

ivreg: Two-Stage Least-Squares Regression with Diagnostics

cran.r-project.org/web/packages/ivreg/vignettes/ivreg.html

Causal Inference The Mixtape - 7  Instrumental Variables

mixtape.scunning.com/07-instrumental_variables

Why is Average Treatment Effect different from Average Treatment effect on the Treated?

stats.stackexchange.com/questions/308397/why-is-average-treatment-effect-different-from-average-treatment-effect-on-the-t

Optimal Full Matching — method_full

kosukeimai.github.io/MatchIt/reference/method_full.html

Optimal Matching

r.iq.harvard.edu/docs/matchit/2.4-15/Optimal_Matching.html

Estimating Effects After Matching

cran.r-project.org/web/packages/MatchIt/vignettes/estimating-effects.html

Causal Inference The Mixtape - 3  Directed Acyclic Graphs

mixtape.scunning.com/03-directed_acyclical_graphs

Propensity Score Matching - StatsNotebook - Simple. Powerful. Reproducible.

statsnotebook.io/blog/analysis/matching/

10 - Matching — Causal Inference for the Brave and True

matheusfacure.github.io/python-causality-handbook/10-Matching.html

Causal Inference The Mixtape - 4  Potential Outcomes Causal Model

mixtape.scunning.com/04-potential_outcomes

Causal Inference The Mixtape - References

mixtape.scunning.com/references.html

Understanding Robust Standard Errors | University of Virginia Library Research Data Services + Sciences

data.library.virginia.edu/understanding-robust-standard-errors/

sand.pdf

www.stat.umn.edu/geyer/5601/notes/sand.pdf

Fisher_info.pdf

people.missouristate.edu/songfengzheng/Teaching/MTH541/Lecture%20notes/Fisher_info.pdf

matrix_OLS_NYU_notes.pdf

web.stanford.edu/~mrosenfe/soc_meth_proj3/matrix_OLS_NYU_notes.pdf

Causal Inference The Mixtape - 2  Probability and Regression Review

mixtape.scunning.com/02-probability_and_regression

Causal Inference The Mixtape - 1  Introduction

mixtape.scunning.com/01-introduction

01 - Introduction To Causality — Causal Inference for the Brave and True

matheusfacure.github.io/python-causality-handbook/01-Introduction-To-Causality.html

Key Challenges with Quasi Experiments at Netflix

netflixtechblog.com/key-challenges-with-quasi-experiments-at-netflix-89b4f234b852

Cluster randomized trials with a small number of clusters: which analyses should be used?

academic.oup.com/ije/article/47/1/321/4091562

Key considerations for designing, conducting and analysing a cluster randomized trial

academic.oup.com/ije/advance-article/doi/10.1093/ije/dyad064/7172835

Essential Ingredients and Innovations in the Design and Analysis of Group-Randomized Trials

www.annualreviews.org/doi/full/10.1146/annurev-publhealth-040119-094027

D:\df\tex\mlesan.dvi - mlesan.pdf

www.stat.berkeley.edu/~census/mlesan.pdf

Getting Started with Generalized Estimating Equations | University of Virginia Library Research Data Services + Sciences

data.library.virginia.edu/getting-started-with-generalized-estimating-equations/

Analysis of cluster randomised trials with an assessment of outcome at baseline

www.bmj.com/content/360/bmj.k1121

Cluster-Randomized Studies: Part 25 of a Series on Evaluating Scientific Publications

www.ncbi.nlm.nih.gov/pmc/articles/PMC5881078/

Quasi Experimentation at Netflix

netflixtechblog.com/quasi-experimentation-at-netflix-566b57d2e362

About Causal ML — causalml documentation

causalml.readthedocs.io/en/latest/about.html

Causal Inference for The Brave and True — Causal Inference for the Brave and True

matheusfacure.github.io/python-causality-handbook/landing-page.html

Proven Netflix Data Scientist interview guide (2023)

prepfully.com/interview-guides/netflix-data-scientist

journals.sagepub.com/doi/pdf/10.1177/1536867X0400400205

Delta Method: Definition

www.statisticshowto.com/delta-method-definition/

A Quick Uplift Modeling Introduction

towardsdatascience.com/a-quick-uplift-modeling-introduction-6e14de32bfe0

Streaming Video Experimentation at Netflix: Visualizing Practical and Statistical Significance

netflixtechblog.com/streaming-video-experimentation-at-netflix-visualizing-practical-and-statistical-significance-7117420f4e9a

Experimentation is a major focus of Data Science across Netflix

netflixtechblog.com/experimentation-is-a-major-focus-of-data-science-across-netflix-f67923f8e985

Netflix Research

research.netflix.com/research-area/experimentation-and-causal-inference

A Day in the Life of an Experimentation and Causal Inference Scientist @ Netflix

netflixtechblog.com/a-day-in-the-life-of-an-experimentation-and-causal-inference-scientist-netflix-388edfb77d21

arxiv.org/pdf/1904.07272.pdf

Multi-armed Bandits: an alternative to A/B testing

medium.com/@brunonishimoto/multi-armed-bandits-an-alternative-to-a-b-testing-8acce8e12549

What is Multi-Armed Bandit(MAB) Testing? | VWO

vwo.com/blog/multi-armed-bandit-algorithm/

Matrix Completion for Causal Models

causalinf.substack.com/p/matrix-completion-for-causal-models

1710.10251.pdf

arxiv.org/pdf/1710.10251.pdf