Course info

Course syllabus

Teaching assistant

Class notes

Homework assignments

Homework solutions

Tests

Data analysis project

SAS on-line docs

Examples from notes

Class notes errata list

Announcements

 

Course objective:


To introduce students to statistical models and methods for the analysis of longitudinal data, i.e. data collected repeatedly on individuals (humans, animals, plants, samples, etc) over time (or other conditions). (Return to top)

Course prerequisites


ST 512, Experimental Statistics for Biological Sciences II, or equivalent. Thus, students should be familiar with basic notions of probability, random variables, and statistical inference; analysis of variance; and (multiple) linear regression. Familiarity with matrix algebra is also useful. We will review matrix algebra at the beginning of the course and make considerable use of matrix notation and operations throughout. ST 512 involves the use of the SAS (Statistical Analysis System) software package; thus, students are expected to have had some exposure to the use of SAS. The course is meant to be accessible both to non-majors and majors. The underlying mathematical theory will not be stressed, and the main focus will be on concepts and applications. Please see the instructor if you have questions about the suitability of your background. (Return to top)

Course topics


See the class notes below for more detailed information (Return to top ).

Tentative syllabus


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Teaching Assistant


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Class notes


Class notes (in pdf format) will be available here in March 2007; if you are taking this class in Spring 2007, you will need to purchase the notes at the NCSU Bookstores.

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Homework assignments and tentative due dates


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Homework solutions


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Tests


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Data analysis project


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SAS on-line documentation


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SAS and R examples (in class notes)


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Errata list


The errata list will be updated as we find typos!

Announcements (most recent shown first)


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