MDCH610
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Biostatistics I: Essentials of Biostatistics
Graduate Science Educ OfficeMD - Cumming School of Medicine
Subject
MDCH - Community Health Sciences
Description
Introduces the fundamental concepts of summarizing data and statistical inference, including graphical displays, hypothesis testing, p-values, and confidence intervals. Specific topics include comparisons of means and proportions, non-parametric tests, sample size determination, power calculations, analysis of variance, and linear regression. Additional topics include a brief introduction to logistic regression and multivariable regression analysis. Examples are given using STATA and R statistical software, and students will be taught how to interpret output from STATA or R. Prior knowledge of STATA and R is not a prerequisite.
Prerequisite(s): Admission to the Community Health Sciences graduate program or Public Health and Preventative Medicine program.
Antirequisite(s): Credit for Community Health Sciences 610 and either Medical Science 643.01 or Veterinary Medicine 610 will not be allowed.
Prerequisite(s): Admission to the Community Health Sciences graduate program or Public Health and Preventative Medicine program.
Antirequisite(s): Credit for Community Health Sciences 610 and either Medical Science 643.01 or Veterinary Medicine 610 will not be allowed.
GFC Hours
(3-2T)
Domestic Fee Rate Group
A
International Fee Rate Group
B
Signature Learning
Research & Creative Scholarship
Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.
Component
LEC
Component
TUT
Units
3
Repeat for Credit
No