October 2020
Beginner to intermediate
448 pages
15h 6m
English
book
Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights
by Joanne Rodrigues
Content preview from Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights
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12. Developing Heuristics in Practice
In the last two chapters, “In Pursuit of the Experiment” we went through natural experiments and quasi-experimental designs. In this chapter, we’ll cover another quasi-experimental design technique, statistical matching. We’ll also discuss logical tools that can be used to pare down factors to A/B test. Finally, we’ll discuss Hill’s causality conditions, which we can use when all else fails and we are not able to infer causation by any other means.
This chapter will cover the following topics:
How to use statistical matching for causal inference
Using matching as a heuristic
Hill’s causality conditions as a guide to identify causal relationships in practice
Best practices when it comes to inferring causation ...
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