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Dr. Philip Dixon

Philip Dixon

  • University Professor
  • Statistics
Research Description
Develops and evaluates statistical methods to answer interesting biological questions.  A lot of this work is collaborative.  The themes are using likelihood inference in non-standard situations and using computer-intensive methods.

Bioinformatics Areas
Mathematical Biology, Computational Modeling, and Metabolic and Developmental Networking-- Modeling virus sequence evolution and immune system response, ecological and environmental statistics

I am available to help ISU faculty and students with:
    design of experiments or observational studies
    choice of statistical methods
    statistical computing
    interpretation of output from statistical computing packages

I have a broad background in statistical methods and a specific expertise in:
    analyses to demonstrate equivalence
    ecological statistics
        analysis of species composition data
        population size estimation
        analysis of spatial patterns
    environmental statistics
        analysis of censored data, especially below-detection limit values
        analysis of environmental trends
    computer-intensive analysis
        randomization tests

Contact Info

2121 Snedecor Hall


  • Ph.D., Ecology and Evolutionary Biology, Cornell University, 1986
  • M.S., Statistics, Cornell University, 1984
  • A.B., Biology, University of California at Berkeley, 1978