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Fall 2024
Jul 13, 2024
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STAT 52600 - Advanced Statistical Methodology
Credit Hours: 3.00. As a sequel to STAT 52500, this course introduces statistical modeling tools for situations where standard least-squares techniques may not apply. This includes an extensive coverage of generalized linear models (GLM) for non-Gaussian responses, mixed effects models to describe correlated data, nonparametric regression, and lastly, parametric and nonparametric survival models for the analysis of (possibly censored) time-to-event data. Among issues to be discussed are the estimation of the models, the testing of hypotheses, and the checking of model adequacy. Data examples will be used throughout the course to illustrate the methodologies and the related software tools in R.
3.000 Credit hours

Syllabus Available
Levels: Undergraduate, Graduate, Professional
Schedule Types: Distance Learning, Lecture

Offered By: College of Science
Department: Statistics

Course Attributes:
Upper Division

May be offered at any of the following campuses:     
      West Lafayette Continuing Ed
      West Lafayette

Learning Outcomes: 1. Understand the concepts and methods in generalized linear models, survival analysis, linear mixed models and GEE methods. 2. Apply these methods properly to real data using R, drawing valid conclusions, and presenting the results concisely.

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