Causal assumptions

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来自 宾夕法尼亚大学 的课程
A Crash Course in Causality: Inferring Causal Effects from Observational Data
65 评分
从本节课中
Welcome and Introduction to Causal Effects
This module focuses on defining causal effects using potential outcomes. A key distinction is made between setting/manipulating values and conditioning on variables. Key causal identifying assumptions are also introduced.

与讲师见面

  • Jason A. Roy, Ph.D.
    Jason A. Roy, Ph.D.
    Associate Professor of Biostatistics
    Department of Biostatistics, Epidemiology, and Informatics

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