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Statistical Rethinking 2022 - Counts & Confounds

Richard McElreath via YouTube

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Overview

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This course examines confounding and sensitivity analysis through admissions examples, proxy and factor variables, Poisson generalized linear models, and an innovation-loss model.

Syllabus

Introduction
Confounded admissions
Sensitivity analysis
Proxies and factors
Technology and Poisson GLMs
Innovation/loss model
Summary and outlook

Taught by

Richard McElreath

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