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 BIOSTAT 208
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Biostatistical Methods for Clinical Research II
BIOSTAT 208 Winter 2019 (3 units)



OBJECTIVES

This is a second course in biostatistics, focusing on multi-predictor variable methods, including multiple linear and multiple logistic regression. Emphasis is on the practical and proper use of statistical methodology and its interpretation. The statistics package Stata will be used throughout the course.

At the end of the course, students will be able to:

  • Describe the roles of descriptive versus inferential statistics;
  • Identify characteristics of the research question to help choose the appropriate analytic technique;
  • Describe techniques appropriate for handling a single outcome variable and multiple predictor variables; and
  • Detect data limitations and their consequences.
PREREQUISITES

Designing Clinical Research (EPI 202), and Biostatistical Methods I (BIOSTAT 200). If BIOSTAT 200 has not been taken, evidence of knowledge of the use of Stata is required. Exceptions to these prerequisites may be made with the consent of the Course Director, space permitting.

FACULTY

Course Director: Steve Shiboski, PhD
Phone: 415-514-8032
email: steve@biostat.ucsf.edu
Lab Assistant: Li Zhang, PhD
email: Li.Zhang@ucsf.edu
Teaching Assistant: Kristina Dang, MPH
email: Kristina.Dang@ucsf.edu
  Chloe Eng, MS
email: Chloe.Eng@ucsf.edu

FORMAT
  1. Lectures: Tuesdays: 10:30 AM to 12:00 PM, Jan. 8 to Mar. 19. Lecture recordings will be available online later in the day. To determine if you have sufficient bandwith to view online lectures, please visit our demonstration site.

  2. Labs: Thursdays: 10:30 AM to 12:30 PM, Jan. 10 to Mar. 21.

  3. Problem Review Sessions: Tuesdays, 12:00 PM to 12:50 PM, Jan. 29, Feb. 13, Feb. 26, Mar. 12.

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

MATERIALS

Regression Methods in Biostatistics by E. Vittinghoff, D. Glidden, S. Shiboski, and C. McCulloch. Springer, 2012.

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

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

GRADING

Grades will be based on five homework assignments (70%) and a final exam (30%). Late work is not accepted.

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

ENROLLMENT

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 is not permitted.

To apply for this course, please fill out and submit the application below. Please see our fees page for cost information. The deadline for application is December 21, 2018. Only one application needs to be completed for all courses desired during the quarter.

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