Search Results

BST 569 Linear Statistical Models 4.0 Credits

The objective of this course is to introduce students to linear regression models (computation, theoretical properties, model interpretation and application). Topics include: Review of basic concepts of matrix algebra that are particularly useful in linear regression, and basic R programing features; (weighted) least square estimation, inference and testing; regression diagnostics, outlier influence; and variable selection and robust regression. Knowledge of calculus 1, calculus 2, and linear algebra required.

College/Department: Dornsife School of Public Health
Repeat Status: Not repeatable for credit

Biostatistics

http://catalog.drexel.edu/graduate/schoolofpublichealth/biostatistics/

...BST 555 3.0 BST 551 3.0 BST 701 3.0 VACATION BST 569...

  • Schedule of Classes
  • All Course Descriptions
  • Co-op
  • Academic Advising
  • Admissions
  • Tuition & Fees
LEARN MORE