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Causal inference 101 : answering the crucial "why" in your analysis /

"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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: O'Reilly Strata Data Conference
Formato: Electrónico Congresos, conferencias Video
Idioma:Inglés
Publicado: [Place of publication not identified] : O'Reilly Media, 2020.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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520 |a "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 
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