List: Causal Inference | Curated by Rudrendu Paul | Medium

Jan 30, 2023

11 stories

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Causal Inference

Rudrendu Paul

Causal Inference Part 10: Estimating Causal Effects with Difference-in-Differences: A Data Science…

DiD as powerful tool for estimating causal effects from observational data, overview of application, challenges and best practices

Jan 30, 2023

Causal Inference Part 10: Estimating Causal Effects with Difference-in-Differences: A Data Science…

Jan 30, 2023

Rudrendu Paul

Causal Inference Part 9: Regression Discontinuity Design for Causal Inference in Data Science

RDD as robust approach for causal inference, understanding its implementation, application, and limitations

Jan 29, 2023

Causal Inference Part 9: Regression Discontinuity Design for Causal Inference in Data Science

Jan 29, 2023

Rudrendu Paul

Causal Inference Part 8: Instrumental Variable Analysis: A Powerful Technique for Causal Inference…

A powerful technique for causal inference, understanding its assumptions and applications in data science

Jan 28, 2023

Causal Inference Part 8: Instrumental Variable Analysis: A Powerful Technique for Causal Inference…

Jan 28, 2023

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Rudrendu Paul

Causal Inference Part 7: Synthetic control methods: A powerful technique for inferring causality in…

A powerful technique for inferring causality from observational data, understanding implementation, application and limitations in data…

Jan 27, 2023

Causal Inference Part 7: Synthetic control methods: A powerful technique for inferring causality in…

Jan 27, 2023

Rudrendu Paul

Causal Inference Part 6: Uplift Modeling: A Powerful Tool for Causal Inference in Data Science

A powerful tool for causal inference in data science, understanding its implementation, applications and best practices

Jan 27, 2023

Causal Inference Part 6: Uplift Modeling: A Powerful Tool for Causal Inference in Data Science

Jan 27, 2023

Rudrendu Paul

Causal Inference Part 5: Applying Propensity Score Modelling in Causal Inference: A Practical Guide

Propensity Score modeling for causal inference, practical guide for implementation, application, and best practices in data science

Jan 26, 2023

Causal Inference Part 5: Applying Propensity Score Modelling in Causal Inference: A Practical Guide

Jan 26, 2023

Rudrendu Paul

Causal Inference Part 4: Counterfactual Modeling in Data Science: Understanding and simulating…

Counterfactual modeling in data science, understanding its methods and application for simulating hypothetical scenarios, its assumptions…

Jan 25, 2023

Causal Inference Part 4: Counterfactual Modeling in Data Science: Understanding and simulating…

Jan 25, 2023

Rudrendu Paul

Causal Inference Part 3: Estimating Causal Effects with Regression Models: A Data Science…

Regression analysis for causal inference: Understanding its implementation, application and best practices in data science

Jan 24, 2023

Causal Inference Part 3: Estimating Causal Effects with Regression Models: A Data Science…

Jan 24, 2023

Rudrendu Paul

Causal Inference Part 2: From Correlation to Causation: The Data Science of Causal Inference

From correlation to causation, understanding causal inference and its methods, assumptions, applications and best practices in data science

Jan 15, 2023

Causal Inference Part 2: From Correlation to Causation: The Data Science of Causal Inference

Jan 15, 2023

Rudrendu Paul

Causal Inference Part 1: Using Causal Inference to Understand Product Experiments

Causal inference is the process of determining the extent to which changes in one variable cause changes in another. This is particularly…

Jan 9, 2023

Causal Inference Part 1: Using Causal Inference to Understand Product Experiments

Jan 9, 2023

Rudrendu Paul
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