PUBH8401: Linear Models

3 Credits

This course is concerned with the theory and application of linear models. The first part of the course will focus on general linear model theory from a coordinate-free geometric approach. The second half of the course covers theory, applications and computing for linear models, and concentrates on modeling, computation and data analysis. It is intended as a core course for biostatistics PhD students and statistics PhD students.prereq: [[7405, concurrent registration is required (or allowed) in STAT 8101] or instr consent], calculus, familiar wtih matrix/linear algebra

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All Instructors

A- Average (3.743)Most Common: A (50%)

This total also includes data from semesters with unknown instructors.

62 students
  • 3.45


  • 2.20


  • 4.03


  • 3.37


  • 3.33



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