Dr. Philip Dixon

People
University Professor
Photograph of Philip Dixon
Department: 

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

Consulting

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
        bootstrapping
        randomization tests

Area of Expertise: 
Biostatistics
Education: 
A.B., Biology, University of California at Berkeley, 1978
M.S., Statistics, Cornell University, 1984
Ph.D., Ecology and Evolutionary Biology, Cornell University, 1986
Contact
515-294-2142
2121 Snedecor Hall
Ames
Iowa
50011-1210