Mathematical Foundations of Biostatistics
The goal of this course is to equip students with core statistical concepts and methods. In this course students will learn mathematical, computational, statistical and probabilistic background; the basics of probability distributions including the definitions of density functions, cumulative distributions, moments of the distributions; theory and methods for point estimation; and methodology for the construction of hypothesis testing and confidence intervals. R statistical software will be used.
Calculus is a prerequisite for this class. For example, students must understand integration and derivatives. A previous or concurrent course in introductory biostatistics is preferred, Biostatistical Methods I (BIOSTAT 200).
Fei Jiang, PhD, MS
Course content will be delivered through weekly interactive lectures. These will take place on Thursdays from 3:15 PM to 5:15 PM, Jan. 6 to Mar. 17
All course materials and handouts will be posted on the course's online syllabus.
This course is sponsored by the Training in Clinical Research (TICR) Program, and space is limited. Preference is given to UCSF-affiliated personnel. We regret that auditing in the classroom is not permitted, but most of the course materials (with the exception of videotapes, answer keys, examinations, and copyrighted documents) are freely available (without formal enrollment) on the course’s online syllabus. Many students can glean the majority of the course’s content from this free access, but, importantly, formal enrollment also provides access to faculty for questions and individual-level extension of the curriculum, a community of other engaged students for in-person real-time discussion, and personalized correction and feedback on homework and projects.
To enroll in this course, please fill out and submit the application below. Please see our fees page for cost information. The deadline for application is December 20, 2021. Only one application needs to be completed for all courses desired during the quarter.
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