Subject: Biostatistics
Course Number: 272
Course Title: Foundations in Biostatistical Principles and Methods
Units: 4
School: Graduate Division
Department: Pharmaceutical Science And Pharmacogenomics Prog

Course Description: This course provides a foundation in modern biostatistical methods and statistical reasoning for pharmaceutical sciences research. The course will explore common data types and distributions, experimental design, exploratory data analysis, methods for hypothesis testing (both parametric and non-parametric), and model-building and comparison. During this hands-on course, students will reinforce their understanding by implementing what they have learned in R.
Prerequisites: There are no formal prerequisites. Students are expected to have knowledge of undergraduate statistics. We will primarily use the R programming language, so familiarity with R is helpful. Students are encouraged to take advantage of the PSPG R programming bootcamp
Restrictions: None
Activities: Direct - Lecture, Direct - Workshop, Student - Lecture, Student - Workshop, Student - Project, Student - Independent Study

Instructor of Record: P. Phillips
Additional Instructor(s): S. Dufault
May the student choose the instructor for this course? No
Does enrollment in this course require instructor approval? No

Quarter(s) Offered: Fall
Course Grading Convention: P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)
Graduate Division course: Yes
Is this a web-based online course? No
Is this an Interprofessional Education (IPE) course? No
May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes
Repeat course for credit? No