Introductory Materials

Introduction to the Course

This course builds on the required statistical sequence and focuses on practical application of statistics including understanding clinical research questions. Analyzing data is the major emphasis of the course including examining if assumptions of the statistical analysis are being met and interpreting the findings. Course assignments focus on using statistical software and computing resources to analyze data sets from actual clinical research studies and interpretation of output and literature.

What are your interests? Project/Study Ideas?

Open discussion

Setting up software for the course

See Details under “Software” TAB of this website.

Your options for software for this course include:

SAS (using SAS University - FREE) https://www.sas.com/en_us/software/university-edition.html
SPSS - FREE from Emory Fall 2020, https://software.emory.edu
R/RStudio - FREE
- https://cran.r-project.org/
- https://www.rstudio.com/products/rstudio/download/
OPTIONAL - VERSION CONTROL
- Git
  - It is suggested if you plan on using R/RStudio - also install Git on your computer to enable the version tracking software and “link” back to your Github repositories
  - https://git-scm.com/downloads - this includes links for both Windows and Mac
  - and for Windows https://git-for-windows.github.io/
- Also see “Happy Git and GitHub for the useR” by Jenny Bryan at http://happygitwithr.com/
- Github
  - It is also suggested, even if you do not want to use R/RStudio, go ahead and setup an account on Github, since many of the lessons and code examples will be saved and hosted on Github.
  - https://github.com/

Feedback, Comments (email me)?