Biostatistical Methods for Clinical Research I

BIOSTAT 200 Fall 2020 (3 units)
Course Director: I. Elaine Allen, PhD
Professor
Department of Epidemiology & Biostatistics

OBJECTIVES

This course is an introduction to the study of biostatistics. We cover types of data, their summarization, exploration and explanation. Also, we look at concepts of probability and their role in explaining uncertainty. We end with coverage of inference applied to means, proportions, regression coefficients and contingency tables. Throughout the course, the software program Stata will be used.

PREREQUISITES

Introduction to Statistical Computing (BIOSTAT 212) or equivalent experience with STATA is strongly recommended. Exceptions may be made with the consent of the Course Director, space permitting.

FACULTY
Course Director:

I. Elaine Allen, PhD
Phone: 415-514-8148
email: isabel.allen@ucsf.edu

Teaching Assistants:

Fara Dayani
email: fara.dayani@ucsf.edu

 

Sophia Hernandez
email: sophia.hernandez@ucsf.edu

 

Rebecca Kim, MD, MS
email: rebecca.kim@ucsf.edu

 

Haifeng Luo, MS
email: haifeng.luo@ucsf.edu

 

Elia Rubio
email: elia.rubio@ucsf.edu

 

Jack Taylor
email: jack.taylor@ucsf.edu

FORMAT

Office Hours
Content: Course faculty are available to address questions on course content.
Tuesdays: 10:30 AM to 12:30 PM, Begining October 1. Note: First session will occur on Thursday, October 1

Computer Labs:
Content: Course faculty are available to address questions on course assignments
Thursdays: 10:30 AM to 12:00 PM, beginining October 8

All course materials and handouts will be posted on the course's online syllabus.

MATERIALS

Suggested texts:

An Introduction to Medical Statistics by M.Bland. Oxford University Press Publisher. 4th edition. 2015.

Principles of Biostatistics by M. Pagano and K. Gauvreau, Duxbury Press. 2nd eidition. 2007.

Regression Methods in Biostatistics by E. Vittinghoff, D. Glidden, S. Shiboski, and C. McCulloch. Springer link. 2012. Free download through UCSF library.

Stata Statistical Software (Stata Corporation, College Station, TX); version 13 or later is acceptable. A six-month student license for Stata/IC is the least expensive option that will be suitable to complete all course assignments. The TICR Program has arranged for a sizeable discount for UCSF-affiliated personnel.

Books may be purchased either through the publisher or a variety of commercial venues (e.g., Amazon.com).

GRADING

Grades in the course will be assigned as follows: homework 70% and final examination 30%.

Students not in full-year TICR Programs who satisfactorily pass all course requirements will, upon request, receive a Certificate of Course Completion.

UCSF Graduate Division Policy on Disabilities

TO ENROLL

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 September 7, 2020. Only one application needs to be completed for all courses desired during the quarter.

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