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The Causal Mindset Handbook : A Practical Guide to the Science of Cause and Effect for Evidence-Based Decision Making.
- Format:
- Book
- Author/Creator:
- Gallea, Quentin.
- Language:
- English
- Subjects (All):
- Causation.
- Decision making.
- Physical Description:
- 1 online resource (212 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Birmingham : Packt Publishing, Limited, 2026.
- Summary:
- Make smarter decisions by mastering causal reasoning and causal inference.Learn how to separate correlation from causation, evaluate impact, and apply evidence-based thinking--no complex math required.
- Contents:
- Intro
- Title Page
- Copyright and Credits
- Foreword
- Contributors
- Table of Contents
- Preface
- Free benefits with your book
- Part 1: Why Causality?
- Chapter 1: Understanding Causality and Its Importance
- Your purchase includes a free PDF copy + exclusive extras
- Introducing causality
- What is causality?
- The big picture
- Dumb data versus our limited perception
- Visualizing cause and effect
- Everything is multifactorial
- Case studies
- Case study 1: Cold showers and the immune system
- Case study 2: Marketing campaign for energy sobriety
- Case study 3: Air pollution and respiratory disease
- Summary
- Chapter 2: Causation versus Prediction
- Why words matter: The thin terminology frontier
- Different roles: Predictive inference (predictive AI) versus causal inference
- Choosing between traditional ML and causal inference
- A powerful collaboration: When causal inference allows you to measure the impact of predictive tools
- Unification: Causal AI, an exciting, emerging new field
- Case study 1: Cold showers and health
- Case study 2: Energy sobriety campaign in Switzerland
- Part 2: What Are the Main Challenges?
- Chapter 3: Why Is It So Hard To Prove Causality?
- Understanding the fundamental problem of causal inference
- Exploring counterfactuals
- Proving causality
- Playing the causal detective game
- Chapter 4: Beyond Correlation: The Main Culprits
- Identifying confounders
- Mediators and colliders
- Non-classical measurement errors
- Spotting reverse causation
- External validity
- Case studies.
- Case study 1: Cold showers and the immune system
- Part 3: What Are the Solutions?
- Chapter 5: The Causal Mindset Framework
- Learning about the Causal Mindset framework
- Step 1: What is the proxy counterfactual?
- Step 2: Is there something else?
- Step 3: What is the direction of the bias?
- Step 4: Refining and iterating
- Step 5: Can we extrapolate?
- The app
- When to use the Causal Mindset framework
- Understanding the importance of domain knowledge in causal inference
- Step 1: What is the counterfactual?
- Chapter 6: Randomized Experiment
- Designing a credible experiment
- Selecting a sample
- Treatment allocation
- Randomize everything that can be randomized
- Placebo, nocebo, and blinding
- Preventing contamination and spillovers
- Non-compliance
- Ethical considerations
- Assessing randomized experiments' weaknesses
- External validity in randomized experiments
- Why statistics are essential for A/B testing
- Randomization is not always possible
- Suggested answer
- Chapter 7: Quasi-Experimental Methods
- Understanding identifying assumptions
- Difference-in-differences
- Identifying assumption for difference in differences
- Difference-in-differences examples
- Regression discontinuity design
- Identifying assumption for RDD
- How to validate the identifying assumption
- RDD examples
- Instrumental variables
- Identifying assumptions for an instrumental variable
- Examples of instrumental variables
- Part 4: How to Deal with Imperfection
- Chapter 8: Correct Answer, Wrong Question: The Importance of Choosing the Right Metrics
- Answering the wrong question correctly
- Misunderstood pathway
- Misleading outcome extrapolation
- Selecting the right metrics to measure what matters
- Assessing and addressing behavioral bias
- Case study 1: Cold Showers and the immune system
- Chapter 9: Embracing Uncertainty
- Chapter 10: Unlock Your Exclusive Benefits
- Other Books You May Enjoy
- Index.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Part of the metadata in this record was created by AI, based on the text of the resource.
- ISBN:
- 1-80611-784-3
- 9781806117840
- OCLC:
- 1573147306
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