Philip Dixon

Where to find me.... 
   In person: 
     2121 Snedecor Hall
     3405 Agronomy (some consulting and office hours) 

   Mailing address:
     Department of Statistics
     Snedecor Hall
     Iowa State University
     Ames, IA 50011-1210
     Tel: (515) 294-2142 
     Fax: (515) 294-4040

     email: pdixon@iastate.edu
     http://www.public.iastate.edu/~pdixon/

Use Google calendar to find out when I'm available for meetings
Note: I will be away from Ames and unavailable for meeting June 26 - Aug 15. These dates are not blocked off on the calendar.

Details on my academic life: See my curriculum vitae

Quick index to this web page:
    VIGRE Discussion Group
    Teaching
    Consulting
    Research
    Manuscripts and Preprints
    Software

VIGRE discussion group on Ecological and Environmental Statisticshierarchical modeling

Come back in the Spring to see what we're doing. If you have a potential topic, please contact me.

Teaching

Statistics 401 Statistical Methods for Research Workers
Statistics 402  Statistical Design and Analysis of Experiments
Statistics 415  Advanced Statistical Methods for Research Workers
Statistics 493  Workshop in Statistics
Statistics 500  Statistical Methods
Statistics 505  Environmental Statistics
Statistics 534  Ecological Statistics
EEB 698  Seminar on Ordination Methods

Research

My favorite research 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.  Some of the current projects include:
 
 
Topic: With:
Modelling spatial segregation.  Examples include spatial segregation in male and female water tupelo trees and spatial clustering of ash yellow disease.  Mark Kaiser,
Mark Gleason
Spatial modeling of data with below detection limit values Brooke Fridley
Estimating size-fecundity relationships in zooplankton, when some individuals lose eggs randomly. Barb Taylor
Combining information to estimate probabilities of rare events, applied to prey capture probabilities in insectivorous plants. Aaron Ellison, Nick Gotelli
Metabolomics, especially evaluating changes after disabling specific genes Basil Nikolau and the 2010 group

Manuscripts and preprints

Reprints currently available include:

Preprints that are available include:

Software and Data sets

Some useful SAS programs and Splus programs are available for public domain use. These archives include programs, macros, or functions for estimating Gini coefficients, bootstrapping, analysis of trends in species composition, analysis of censored data, and prediction from linear mixed effects models. Other SAS programs for analysis of experimental data, including variance component estimation, and simple mixed models are available on class web pages:

  • Statistical Methods,
  • Design and Analysis of Experiments,
  • Random coefficient regression,
  • Environmental statistics, and
  • Ecological statistics.

    Some publicly available data sets

    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

    I even like to get out into the field and see work in progress, when time permits.

    To make an appointment, please e-mail me at  pdixon@iastate.edu , or call me at 4-2142.