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423Syllabus2008

# 423Syllabus2008 - Statistical Methods in Biomedical...

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Statistical Methods in Biomedical Engineering - BME 423 Syllabus - 2008 Fall Semester 1. Basic Information Course: Statistical Methods in Biomedical Engineering, BME 423, 3 units Place and time: ZHS 159, M. & W. 2:00 to 3:15 pm Faculty: David Z. D’Argenio, Ph.D. Professor, BME Office: Denny Research Center, Suite 140, Room 154 Telephone 740-0341 Email: [email protected] Office Hours: M 3:30 to 5:00 TAs Navya Davuluri, DRB 140 [email protected] T. 12:30-2:30 Rui Zhu, DRB 140 [email protected] Th. 2:30-4:30 Final Exam: Dec. 12, 2:00-3:15, ZHS 159 Prerequisite: BME 210 Class web page: https://blackboard.usc.edu/webapps/login/ (login and select BME 423) 2. Course Goals, Learning Objectives, and relationship to Program Outcomes 2.1. Goals: The overall goal of BME 423 is to introduce statistical methods for making inferences in engineering, biology and medicine. You will learn a number of essential statistical techniques for use in analyzing data from different types of experiments and you will apply them to data from biological experiments and clinical studies. In the course you will learn about: descriptive statistics; elementary probability; discrete and continuous random variables and their distributions; hypothesis testing involving continuous and categorical (nominal and ordinal) variables, two and more treatments; linear regression; analysis of time to event (survival) data; design and ethical issues of clinical trials. 2.2 Learning objectives and relationship to program outcomes: After successfully completing this course, you should be able to: explain and apply descriptive statistics (including measures of central tendency and dispersion) to summarize experiment data (BME Program Outcomes 1 - 2 - see last page); know what a random variable is (discrete and continuous), some common probability distributions and how to calculate expected values (Outcomes 1 - 2) explain and implement methods for testing differences between treatment groups when the measurements are continuous, including: F-test; unpaired and paired t-test; analysis of variance; repeated measures ANOVA (Outcomes 1 - 2) 1

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423Syllabus2008 - Statistical Methods in Biomedical...

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