Practicum in Biostatistics

Final Week Data Analysis Questions

Data sets

The public data sets used in class are available here. They will also be provided to you on a CD (as will the confidential data sets).

UW-Madison campus Infolabs

The computers in Animal Science 150 are available for our use till 5:00 every afternoon. Additionally, you can use the computers in the several Infolabs throughout campus. You will need your 11-digit UW ID number to log in.

• Infolab Locations
• Infolabs with R installed (try CALS or Union South)

Not all the locations have R installed, but enough do. Once you log in, R can be found in the Start -> Programs -> Courseware menu.

SIBS links

• SIBS home
• Stat 541 material (Ismor Fischer)

R Text

Introductory Statistics with R (by Peter Dalgaard) Contents and Errata

Lecture slides

• Dave DeMets
  • Evidence-Causation (June 13)
  • Design, Bias and Surrogates (June 14)
  • Analysis and Interpretation of Subgroups (June 21)
  • Subgroups contd: Vesnarinone (June 21)
  • ITT Analysis (June 23)
  • Fraud in Clinical Trials (June 24)
• Rick Chappell
  • A Taxonomy of Clinical Studies (June 15)
  • Hong Kong Nasopharyngeal Cancer Study (July 11)
• Mari Palta
  • The Newborn Lung Project (July 15)
• Sunduz Keles
  • Introduction to DNA microarray experiments (July 13)
  • Introduction to Categorical Data Analysis (July 18)
  • Overview of Microarray Gene Expression Analysis (July 19) and R code for Affy data example

R material

• Slides
  • R: Introduction and Basics (4-up version) (covers sections 1.1, 1.5.2, 1.5.3 and chapter 3)
  • R Language overview (4-up version) (covers rest of chapter 1)
  • Objects, classes and functions (4-up version)
  • Survival Analysis (4-up version) (covers chapter 12)
• Short Demos
  • ``Standard'' R graphics
  • Trellis graphics
  • Data Import and Export
  • Embedding R output in other documents
  • Graphically comparing continuous distributions
• Practice problems
  • Set 1

Useful R links

• CRAN (Comprehensive R Archive Network): Download R and R packages
• list of packages on CRAN
• Frequently Asked Questions
• R Help pages online (also available with help.start()). Contains, among other things,
  • The official R Manuals, including
    • An Introduction to R (approx 100 pages, fairly detailed)
    • R Data Import/Export (approx 35 pages)
  • Package-wise help files
• Publications related to R
• User Contributed Documentation
• An R Reference Card

• The R Tips page with helpful information in a question-answer format