Theresa Boswell
Scope: Data management and programming, data analysis, interpretation of results, construction of hypotheses, determining methodolgy to use.
EXPERIENCE
Software Developer
Continually work on additions to news broadcasting software, programming in Visual Studio, utilize obect oriented programming techniques
Statistician/Statistical Software Developer
Program additions to software in the Stata ado language, Mata matrix language, and C; responded to user inquiries regarding Stata software, bug fixes, new commands and additions to official commands in Stata
Texas A&M UMB Program (Undergraduate Research in Biology and Mathematical Sciences). Solved biological problems with mathematics.
Texas A&M REU Program (Research Experience for Undergraduates). Solved population problems with mathematics and implemented stochastic modeling techniques.
EDUCATION
Texas A&M University, College Station, Texas.
B.S. Applied Mathematics, May 2007.
M.S. in Statistics, December 2008.
BIO
Theresa Boswell holds an M.S. in Statistics and a B.S. in Applied Mathematics from Texas A&M University. She worked several years at the statistical software corporation STATA where she provided data analysis support, taught online programming courses, and implemented statistical methodology to procedural commands. Her training with the software has enabled her to complete intensive data management projects, apply statistical analysis, and program statistical methodologies and mathematical computations.
As a statistical support representative, Theresa has assisted others with formulating a hypothesis, determining the correct statistical methodology to apply, fixing problems with data, interpreting statistical results, creating graphical interpretations of results, and constructing final conclusions. By answering over 7,000 support emails from STATA users, she has a wide range of statistical knowledge and can determine quickly the STATA commands needed to complete the analysis. As a software developer, she is also capable of programming detailed analysis and computations that may be specific to a project.
Theresa can help explain statistical methodology and interpretation of results in a clear and concise manner that is understandable even to those newly introduced to statistics. She can provide explanations of the simply but commonly misunderstood statistical concepts such as variance, standard deviation, probability distributions, the central limit theorem, correlation, and linear regression.
Areas of statistics that she is knowledgeable in are t-tests, analysis of variance (ANOVA), nonparametric methods, linear regression, logistic regression, factor analysis, principal component analysis (PCA), epidemiological tables, survival-time models, complex survey data, multilevel analysis (panel data), and many more. She can also assist with the bootstrap resampling method, Monte Carlo simulations, permutation tests, predicted probabilities, postestimation measurements (Akaike and Bayesian information criteria), and model tests such as the LR and Wald tests.
With her formal education in Mathematics, she can also assist students in Calculus, Differential Equations, Linear Algebra, and Numerical Analysis. As a tutor for these subjects during her studies, she is able to break down the complicated mathematical solutions into small fragments that are more easily understood. She is most comfortable and efficient using the software STATA but also has experience in R, SAS and SPSS.
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