Philip Dixon

Where to find me....

   In person: 
     1436 Wilson Hall (research office) or 
     3405 Agronomy (consulting and office hours) 

   Mailing address:
     Department of Statistics
     Snedecor Hall
     Iowa State University
     Ames, IA 50011-1210
     Tel: (515) 294-6828 (Agronomy, try first)
         (515) 294-2142 (Wilson)
     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

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 hierarhical modeling

Table of Contents

Chapter 1 Concepts and Philosophy

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:

None currently available on this web site
Preprints on bootstrapping, nearest neighbor analysis, Ripley's K function, and a review of population ecology are available on the department's preprint web site.

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.