Experimental Course: EC: Stat Mthds for Biomed Data

Student Learning Outcomes, Goals, Objectives:

Students successfully completing this course will be able to:

• Explain the role of statistical methods in the design and analysis of biomedical studies.

• Apply appropriate statistical techniques to analyze clinical trial, time-to-event, and selected modern biomedical data using statistical software.

• Interpret and communicate statistical results in the context of biomedical research.

• Critically evaluate the use of statistical methods, including emerging approaches, in published health-related studies.

Course Grading Information:

Activity/Performance Measure	Percentage/Points
Homework	20%
Projects	70%
Participation / In-class Activities	10%

Grading Scale:

Percentage	Letter Grade
93-100	A
90-92	A-
87-89	B+
83-86	B
80-82	B-
77-79	C+
73-76	C
70-72	C-
67-69	D+
63-66	D
60-62	D-
0-59	F

Attendance/Participation:

Attendance/participation is part of component included in the student's final grade for this course, and counts 10% of the final grade.

Course Materials Purchased by the Students:

• Fundamentals of Clinical Trials. By Friedman, Furberg, DeMets, Reboussin & Granger (Springer, 5th ed.).

• Survival Analysis: A Self-Learning Text. By Kleinbaum & Klein (Springer).

• Modern Statistics for Modern Biology, by Susan Holmes and Wolfgang Huber (Cambridge University Press, 2019).

Scholarly Perspectives

This course engages diverse scholarly perspectives to develop critical thinking, analysis, and debate, and inclusion of a reading does not imply endorsement.