Gary L. Gadbury
Associate Professor  
Dickens Hall, Room 107
Department of Statistics
Manhattan, Kansas   66506
Office phone: (785)532-0526
FAX: (785)532-7736
E-mail: gadbury@ksu.edu

This Web page is under construction. Many links will not work.

Statistics Summary

Statistics is a mathematical science and, at the same time, an applied science. Problems in the engineering and physical sciences, social and psychological sciences, biological and environmental sciences, and economic and political sciences all motivate new methods in statistics. As such, a statistician has ample opportunity to work within a number of scientific research areas. For more details regarding the statistics profession, see the homepage for the American Statistical Association.


Statistics at K-State

My experience with applications is fairly broad but with some focus on health, biology, and the environment. My statistical software expertise is with S-Plus and R.


Research

Click on the associated links below to learn more about some recent and active research projects. A Curriculum Vitae is also available that provides additional background information. My Ph.D in Statistics was awarded from Colorado State University in 1998.
  • Research into statistical methods for the analysis of gene expression data from microarrays.
  • Assessing individual treatment heterogeneity in randomized experiments.
  • Statistical methods for large scale environmental survey data.
  • Research with the Cloud and Aerosol Science Laboratory (CASL).


    • Information on Statistical Software

    There are many software packages to perform statistical analysis of data. Two common products are S-Plus and SAS. I use S-Plus for my research and consulting and, so, provide some more information below.
  • Academic Site License for S-Plus
  • S-Plus Installation Instructions
  • S-Plus Practice Exercises
  • Data and Story Library
  • The Homepage for "R"


    • Teaching

    During the Fall Semester 2007, I will be teaching Stat 725. Courses previously taught at University of Missouri - Rolla are below.
  • Stat 213: Applied Engineering Statistics
  • Stat 215: Engineering Statistics
  • Stat 325: Biostatistics
  • Stat 343: Probability and Statistics
  • Stat 344: Mathematical Statistics
  • Stat 346: Regression Analysis
  • Stat 353: Statistical Data Analysis
  • Stat 443: Nonparametric Statistical Methods
  • Stat 453: Linear Statistical Models I
  • Stat 454: Linear Statistical Models II


    • Other Links

  • UMR Department of Mathematics and Statistics
  • Institute of Mathematical Statistics
  • International Biometric Society, Eastern North American Region
  • The Section on Statistical Genetics, University of Alabama at Birmingham   (adjunct faculty appointment)
  • Yale Microarray Database


    • This Document is maintained by gadburyg@umr.edu
    Last Modified: Sunday, 07-Jan-2007 14:00:42 CST
    URL: http://web.umr.edu//~gadburyg/index.html