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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.

Signature Learning

Research & Creative Scholarship

Course Attributes

Fee Rate Group(Domestic) - A, Fee Rate Group(International) -B, GFC Hours (3-2T), Research & Creative Scholarship - Related

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

Subject code

MDCH

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