Consultants

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Statistics Consultants

Michael J. Mahometa, Sally Amen, Erika Hale, Matt Hersh


Michael J. Mahometa

MahometaTechnical Areas of Interest: Design and collection of data for experiments in the behavioral sciences, T-test, ANOVA, ANCOVA, MANOVA (independent and dependent designs), Regression (including OLS, logistic, and multinomial logistic), moderation analysis within regression.

Appointment Availability: M 12:30pm - 2:30pm, T 3:00pm - 5:00pm, W 12:30pm - 2:30pm

Background: Dr. Mahometa received his Ph.D. in Psychology from The University of Texas at Austin in 2006. His major course work was completed in Behavioral Neuroscience, with a minor in Statistics. His background in animal models of learning makes him familiar with full factorial designs - which he is expanding to include classic DOE concepts. He is currently available to assist graduate students and faculty in study methodology, data analysis, data presentation, and result writing. He is most familiar with the following statistical software packages: SPSS, SAS, Stata, JMP, StatView, SuperANOVA.

Education: Ph.D., Psychology, University of Texas at Austin, 2006; B.S., Psychology, University of Scranton, 1998


Sally Amen

Sally AmenTechnical Areas of Interest: T-test, ANOVA, ANCOVA, Regression, Logistic Regression, Bootstrapping, Mixed Model Analysis.

Appointment Availability: M 10:00am - 12:00pm, W 3:00pm - 5:00pm, F 10:00am - 12:00pm

Background: Sally received her Master of Science degree in Statistics from the University of Texas at Austin in 2012. For her Master’s Report, she wrote a program in R which calculates the linear model estimates for data with correlated measurement errors in both variables. Prior to graduate school, she worked for four years as a statistical analyst for a survey research company specializing in transportation survey analysis. She is most familiar with the R, SPSS, and Matlab statistical software packages, but also uses SAS and Stata.

Education: M.S., Statistics, University of Texas at Austin, 2012; B.A., Mathematics, University of Texas at Austin, 2006


Erika Hale

erikaTechnical Areas of Interest: Tests for data normality, T-tests, Nonparametric tests, ANOVA and repeated-measures ANOVA, ANCOVA, MANOVA, Regression, Logistic regression, Factor analysis, Generalized Linear Models, Survival analysis

Appointment Availability: T 10:00am - 12:00pm; 1:00pm - 2:00pm, W 10:00am - 12:00pm, Th 10:00am - 12:00pm; 1:00pm - 2:00pm

Background: Erika received her Master of Science degree in Statistics from Florida State University in 1993. After graduating, she joined Merck, Inc. as a statistician on Phase I, II, and III clinical trials. She then worked for a contract research organization on numerous statistical projects for clients in the pharmaceutical industry. She has been a statistical consultant for the Division of Statistics and Scientific Computation since September, 2007 and has taught SPSS for the UT Summer Statistics Institute. Erika is most familiar with the SPSS, Stata, and SAS statistical packages but also uses R.

Education: M.S., Statistics, Florida State University, 1993; B.S., Mathematics, University of Texas at Austin, 1992


Matt Hersh

mattTechnical Areas of Interest: Regression, ANOVA, ANCOVA, Mixed Models, Repeated Measures, Multiple testing techniques, Bayesian methods, Computational Analysis (MCMC, differential evolution, etc.)

Appointment Availability: None scheduled. Email This e-mail address is being protected from spambots. You need JavaScript enabled to view it to set up a meeting.

Background: Dr. Hersh received his Ph.D. in Statistics from the University of Kentucky in 2007. While obtaining his degree, he was in the microarray core facility where he worked with researchers from various medical fields to help design and analyze their experiments. He also received a Master's degree from the LBJ School of Public Affairs, The University of Texas at Austin, in 2000. As part of SSC's Graduate Fellows Program, Dr. Hersh assists graduate students in analyzing data, preparing the results, and presenting conclusions for faculty members around campus. The statistical software packages he is most familiar with are SAS and R.

Education: Ph.D., Statistics, University of Kentucky, 2007; M.P. Aff., LBJ School of Public Affairs, 2000; B.A., Government, The University of Texas at Austin, 1993