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Instructor Class Description

Time Schedule:

Kenneth M. Rice
BIOST 540
Seattle Campus

Correlated Data Regression

Introduction to regression modeling of longitudinal and clustered data from epidemiology and health sciences. Interpretation and familiarity with software gained by analysis of data and critiques of published analyses. Prerequisite: Either BIOST 513, BIOST 515, BIOST 518, BIOST 536, or permission of instructor. Offered: Sp.

Class description

Introduction to regression modeling of longitudinal and clustered data from epidemiology and health sciences. Interpretation and familiarity with software gained by analysis of data and critiques of published analyses.

Student learning goals

Recognize correlated data and explain how it arises

Describe the impact of correlated data on design and statistical analysis

Describe the basic structures of correlated data

Formulate analyses for real-life correlated data and correctly interpret the parameters being estimated

Choose appropriate analysis methods for correlated data and explain them to a non-statistical audience

Perform several methods of analysis of correlated data using statistical packages and recognize situations that cannot be addressed by these techniques and that require expert assistance

General method of instruction

Lectures, homework

Recommended preparation

BIOST 536 and either 511/512/513 or 517/518.

Class assignments and grading

Weekly homework exercises, plus exams and/or data analysis project


The information above is intended to be helpful in choosing courses. Because the instructor may further develop his/her plans for this course, its characteristics are subject to change without notice. In most cases, the official course syllabus will be distributed on the first day of class.
Additional Information
Last Update by Kenneth M. Rice
Date: 03/31/2013