OHSU

Statistics

The statistical support core can assist CROET scientists and other OHSU researchers with the analysis of existing data or the design of future experiments. Level of assistance ranges from basic consultation and guidance for researchers wanting to analyze their own data, up to a complete analysis that includes a summary of the statistical methods used (and references), the findings, tables and publication-ready figures. 

An initial meeting to discuss the aims of your project and your specific questions of interest can be arranged by contacting Michael Lasarev by e-mail (lasarevm@ohsu.edu) or phone (x4-3867). The initial meeting is free, though further services are charged on an hourly basis according to the fee schedule. You may be referred to another on-campus resource such as Biostatistics Shared Resource, depending on the scope of your project and your specific needs.

 Researchers choosing to analyze and explore their own data may want to visit some of the sites shown on the right.

 

Software Resources

Data visualizing

  1. GNU Plot - A free high-level plotting program
  2. Kyplot - A commercial plotting program with an Excel-like interface; also capable of some statistical analyses
    Free-version: http://www.woundedmoon.org/win32/kyplot.html  [Windows only]

Statistical

  1. R - a powerful and free open-source program for statistical computations and visualization of data.

Power analysis

  1. UnifyPow - Ralph O'Brien's SAS macro for performing power and sample size calculations; the main page has useful resources and documentation from short courses he's given on the subject.
  2. Gpower - A free program for power and sample size determination for some common statistical tests.
  3. R2 - A free DOS executable created by James Steiger to perform basic sample size and power calculations in regression problems.
  4. STPLAN - A free DOS executable for study planning and sample size calculations for some very specific designs / tests.