Section outline

  • Biostatistical Methods for Clinical Research I 

    BIOSTAT 200 Fall 2021 (3 units)
    Course Director: Isabel Elaine Allen, PhD
    Professor, Department of Epidemiology and Biostatistics

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    • 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 You can use Stata or R in the course.

    • Introduction 9-23-2021 File

    • Video: Biostat 200 Overview of the course, Allen (7:59)

    • Online Format

      Videos for each Module of the course will be posted well in advance of synchronous zoom sessions. Course office hours and some extra sessions are Tuesdays, 10:30am-12:30pm PST but the first session will be on Thursday September 23rd and Tuesdays thereafter.

      Labs for practice and HW will be led by Teaching Assistants on Thursdays, 10:30am-12:30pm PST and will include interactive lab sessions and help with homework. These will begin on September 30th.

      Synchronous online sessions are not required but suggested. 

      Learning Activities for each module

      Monday - Wednesday

      Thursday - Sunday
      • Complete assigned readings
      • View assigned videos
      • Attend office hours Tuesdays, 10:30am-12:30pm for questions and additional materials
      • Complete homework as assigned
      • Attend Lab sessions Thursdays, 10:30am-12:30pm  (attendance is not required)
      • Review course materials as needed

      Materials

      If you wish to also use a textbook, these may be helpful but not required - see additional downloadable suggestions on the Introduction page:

      • An Introduction to Medical Statistics by M. Bland. Oxford University Press Publisher. 4th edition. 2020. An earlier edition in pdf form is below. 
      • 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.
      • If you are using R you may want to download R-Studio.

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    • Review General Information
    • Biostat200-Schedule 2021 File
    • Meet your Faculty Page

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    • Resources  Resources

    • Bland, Introduction to Medical Statistics 2000 File
    • R for Stata Users File
    • Stata Cheatsheets File
    • R Studio Users Guide File
    • Biostatistics in Public Health using Stata Folder
    • Biostatistics and Computer-based Analysis of Health Data using Stata Folder
    • Stata Handbook File
    • Intro to Stata Graphics File
    • Graphics in Life Sciences File