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Brown University

 

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Spring 2019
Mar 28, 2024
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  Select the Course Number to get further detail on the course. Select the desired Schedule Type to find available classes for the course.

PHP 2517 - Applied Multilevel Data Analysis
This course provides a survey of multilevel data analysis. Topics will range from structure of multilevel data, basic multilevel linear models, multilevel GLM, Model testing and evalatuation and missing data imputation. Data and examples will be drawn from medical, public health and social sciences. Students will be using real data throughout this course.

This course is designed for graduate and advanced undergraduate students who will be analyzing data and want to develop a practical hands on toolkit for multilevel analysis. Students in this class will need an understanding of how to work with R. Prereq is: PHP 2511 OR PHP 2514; PHP 2508 with Permission from Instructor.
0.000 OR 0.500 Credit hours
0.000 OR 0.500 Lecture hours
0.000 Lab hours

Levels: Graduate, Undergraduate
Schedule Types: Lab, Primary Meeting

Public Health Department


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