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Hierarchical and Mixed Effects Models in R

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4.6+
19 reviews
Updated 12/2024
In this course you will learn to fit hierarchical models with random effects.
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RProbability & Statistics4 hours13 videos55 exercises4,750 XP20,387Statement of Accomplishment

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Course Description

This course begins by reviewing slopes and intercepts in linear regressions before moving on to random-effects. You'll learn what a random effect is and how to use one to model your data. Next, the course covers linear mixed-effect regressions. These powerful models will allow you to explore data with a more complicated structure than a standard linear regression. The course then teaches generalized linear mixed-effect regressions. Generalized linear mixed-effects models allow you to model more kinds of data, including binary responses and count data. Lastly, the course goes over repeated-measures analysis as a special case of mixed-effect modeling. This kind of data appears when subjects are followed over time and measurements are collected at intervals. Throughout the course you'll work with real data to answer interesting questions using mixed-effects models.

Prerequisites

Generalized Linear Models in R
1

Overview and Introduction to Hierarchical and Mixed Models

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2

Linear Mixed Effect Models

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3

Generalized Linear Mixed Effect Models

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4

Repeated Measures

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Hierarchical and Mixed Effects Models in R
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*4.6
from 19 reviews
68%
26%
5%
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0%
  • Lorenza M.
    2 months

    Very concise and clear, useful for learning both how to use DataCamp and statistics

  • Sivakumar S.
    3 months

    It was a good introduction to mixed models, some more complex mixed models will be good to add and also why some factors are random and some are fixed, those will be good.

  • Edwin A.
    8 months

    Through this course, I have learned to model more kinds and complicated structure of data.

  • Dimitris L.
    11 months

    useful course

  • Nicolas F.
    about 1 year

    This is a foundational course for any researcher who wants to learn mixed effects models in R.

"Very concise and clear, useful for learning both how to use DataCamp and statistics"

Lorenza M.

"It was a good introduction to mixed models, some more complex mixed models will be good to add and also why some factors are random and some are fixed, those will be good."

Sivakumar S.

"Through this course, I have learned to model more kinds and complicated structure of data."

Edwin A.

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