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Statistical Rethinking 2022 - Measurement Error

Richard McElreath via YouTube

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Overview

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This course examines how measurement error, recall error, predictor error, and misclassification affect statistical models. It uses examples involving income and divorce rates and includes coding the models.

Syllabus

Introduction
Bertrand's pancake paradox
Measurement error
Income and recall error
Divorce rates and measurement
Coding the model
Error on predictor
Misclassification
Floating point monsters
Summary and outlook

Taught by

Richard McElreath

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