"Subhasish Misra (Walmart Labs) explores the statistical methods available to ensure you're able to circumvent this shortcoming and get to causality. You'll get a practical overview of the aspects of causal inference, including the fundamental tenants of causality and measuring causal effects; the challenges involved in measuring causal effects in real-world situations; distinguishing between randomized and observational measurement approaches; an introduction to measuring casual effects with observational data using matching and its extension of propensity score-based matching with a focus on the institution and statistics behind it, tips from the trenches based on Subhasish's experience with these techniques; and practical limitations of these approaches. Subhashish walks you through an example of how matching was applied to get causal insights regarding the effectiveness of a digital product at Walmart."--Resource description page
Notes
Title from resource description page (viewed July 23, 2020)
This session is from the 2019 O'Reilly Strata Conference in New York, NY
