Taylor Lewis Adjunct Professor Department of Statistics Volgenau School of Engineering George Mason University 4400 University Drive, MS 4A7 Fairfax, VA 22030 tlewis18@gmu.edu

Teaching

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Courses taught at George Mason University:

• MATH106 - Quantitative Reasoning - elementary mathematics course covering topics such as logic, strategies for graphing and tabulating data, fundamentals of probability and statistics, and financial mathematics.
• STAT250 - Introductory Statistics I - descriptive statistics, measures of dispersion, fundamentals of probability, forming confidence intervals, and conducting hypothesis tests.
• STAT344 - Probability and Statistics for Engineers and Scientists I - intermediate statistics course with applications to computer science, engineering, operations research, and information technology.
• STAT574 - Survey Sampling I - discussion of common survey sample designs such as simple random, systematic, stratified, clustered, and probability proportional to size sampling, as well as ratio and regression estimators.
• STAT674 - Survey Sampling II - analysis of complex survey data, domain estimation, replication techniques for variance estimation, weighting and imputation.

I have also taught the following courses at the University of Maryland:

• SURV615 - Statistical Modeling I - linear regression, ANOVA, experimental design, random and mixed effects regression models.
• SURV616 - Statistical Modeling II - multivariate statistics, modeling strategies for longitudinal data, and an introduction to survival analysis and time series methods.
• EPIB660 - Analysis of National Health Survey Data - online course featuring analysis of complex survey data produced from nationally representative public health surveys.
• SURV701 - Analysis of Complex Survey Data - estimation and analysis accounting for weights, stratification, clustering, replication variance estimation methods, fitting regression models.

And the following courses at the University of North Carolina:

• BIOS664 - Sample Survey Methodology – hybrid undergraduate- and graduate-level course covering topics in applied sampling and survey data analysis.
• SOCI754 - Survey Sampling - graduate-level course for the Odum Institute's Certificate in Survey Science (CSS), covering applied sampling techniques.

See my teaching statement to learn more about my teaching preferences and philosophy.

Research Interests

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• Sample design and estimation
• Survey methodology
• Survey data analysis
• Weighting and imputation
• Replication techniques for variance estimation
• Disclosure avoidance procedures for the release of survey microdata

For more on my research interests, check out my CV (last updated 3.19.24).

Book

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A recent study revealed a shockingly low percentage of researchers conducting secondary analyses of publicly available survey data properly account for the complex survey features inherent in the design (e.g., weights, stratification, clustering). Failing to account for these features leaves the researcher vulnerable to reporting biased point estimates and making flawed (and often anti-conservative) inferences.

Complex Survey Data Analysis with SAS®, published by CRC Press in 2016, provides ample background on the rationale behind the presence of these complex survey features, and equips the reader with the tools to confidently account for them by employing the SURVEY family of SAS/STAT® procedures. You can purchase a copy from the publisher's page or Amazon. A single syntax file to reproduce all examples appearing in the book can be downloaded for free here. For the code to execute properly, you will also need to download a ZIP file containing all SAS data sets here.



Full chapter listing:

1. Features and Examples of Complex Surveys
2. Drawing Random Samples Using PROC SURVEYSELECT
3. Analyzing Continuous Variables Using PROC SURVEYMEANS
4. Analyzing Categorical Variables Using PROC SURVEYFREQ
5. Fitting Linear Regression Models Using PROC SURVEYREG
6. Fitting Logistic Regression Models Using PROC SURVEYLOGISTIC
7. Survival Analysis with Complex Survey Data
8. Domain Estimation
9. Replication Techniques for Variance Estimation
10. Weight Adjustment Methods
11. Imputation Methods

Other Interests

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With a full-time job, adjunct teaching, and raising my three daughters, Tessa, Josie, and Nora, free time is at a premium these days. But when there is time to spare, chances are I am playing tennis or attending a concert.

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