Lucy D’Agostino McGowan


propensity score analyses, R package development, observational study methods, sensitivity to unmeasured confounding, predictive modeling, large-scale inference, R-Ladies, engaging beginners in R package development with rOpenSci through contributr, disparities research, community-based participatory research


Vanderbilt University PhD Student in Biostatistics, GPA 3.95

Washington University School of Medicine MS in Biostatistics, December 2013, GPA 3.88
Thesis: Quantitative Assessment of the Community Research Fellows Training Program

University of North Carolina at Chapel Hill BA with Distinction and Highest Honors
Religious Studies: GPA 3.92 Romance Languages: GPA 3.86

Research Experience

2017 March-present **RStudio**
*internship under Jenny Bryan developing `googledrive` package*

2016-2017 **Vanderbilt University**
*NIH Big Data to Knowledge Training Fellow*
Training included attending three courses in the computer science department (Algorithms, Topics in Big Data, & Program Design and Data Structures for Scientific Computing), as well as collaborating on methods development for large scale statistical inference and sensitivity to unmeasured confounding analyses.

2015-2016 **Vanderbilt University**
*Research Assistant, Department of Biostatistics and VA Tennessee Valley*
Perform statistical analyses and large-scale inference on a retrospective national cohort of 411,055 Veterans Health Administration patients. Experience with manipulating and analyzing large datasets, as well as integrating data from multiple sources, such as the National Death Index, Medicare, and Medicaid. Current focus is the association between diabetes medications and congestive heart failure.

2015 Summer **Cleveland Clinic**
*Summer Graduate Fellow, Department of Quantitative Health Sciences*
Worked under Nancy Obuchowski on multi-reader multi-case ROC analyses. Conducted a examining the effect of location bias in two large MRMC ROC studies, comparing three ROC scoring methods. Compared one method that only uses the maximum confidence score and does not take location bias into account (maxROC), and two methods that take location bias into account: the region of interest ROC (ROI-ROC) and the free-response ROC (FROC).

2013 Summer **Graham Colditz Laboratory**
*Summer Intern*
Created custom labor curves based on women in labor’s individual characteristics. Obtained model estimates and 95% confidence intervals for the custom labor curves using bootstrap resampling methods.

2012-2014 **Gutmann Research Laboratory**
*Research Assistant, Washington University School of Medicine, Department of Neurology*
Performed microarray analysis using programs such as R and Partek to determine unique transcripts. Worked with researchers to prioritize transcripts for validation.

2012-2014 **Washington University School of Medicine**
*Statistical Data Analyst, Department of Surgery, Division of Public Health Sciences*
Began as a research assistant and promoted to statistical data analyst position. Experience in planning and executing analytical projects. Lead survey data manager for Center for Outpatient Health Study focusing on health literacy. Performed statistical analyses including univariate, bivariate, multivariate, and mixed methods. Extensive SAS experience in analyzing large datasets including data step processing, data manipulation, macro creation, data mining, regression analyses, survival analyses, and two-time winner of SAS Student Ambassador award.


2017 [NASA Datanauts](
2017 useR!2017 Young Academic Scholarship
2017 Caucus for Women in Statistics Travel Award
2016 First Place, GSS Student Data Challenge, ASA Joint Statistical Meeting
2016 Second Place, SPAAC Poster Competition, ASA Joint Statistical Meeting
2016 Southern Startup Internship Program in Data Science (South BDHub)
2016 Vanderbilt [Commodore Award in Biostatistics](
2015 First Place, GSS Student Data Challenge, ASA Joint Statistical Meeting
2015 Prezi Student Ambassador
2014 SAS Student Scholar, PharmaSUG
2014 SAS Student Ambassador, SAS Global Forum 2014
2013 First Place, Student Research Competition, 141st APHA Annual Meeting
2013 Ellis R. Ott Scholarship: ASQ Statistics Division
2013 Best Contributed Paper in the Statistics and Data Analysis Section at SAS Global Forum
2013 SAS Student Scholar, NESUG
2013 SAS Student Ambassador, SAS Global Forum 2013
2012 Gertrude M. Cox Scholarship for Women in Statistics Honorable Mention
2012 NIAF Jim Cantalupo Scholarship
2011-2012 National Society of Leadership and Success
2011 Dunlevie Honors Undergraduate Research Award
2010 Programma Ponte Scholarship
2010 Newman Scholar
2009-2012 UNC Dean’s List
2008-2012 UNC Public Service Scholar


2017 Vanderbilt Biostatistics Graduate Student Association, President
2017 Nashville ASA Student Chapter, President
2016-2017 R-Ladies Nashville, co-founder
2016-2017 Vanderbilt Graduate Student Council, President
2016-2017 Vanderbilt Biostatistics Graduate Student Association, Vice President
2016-2017 Nashville ASA Student Chapter, Vice President
2016 useR Student Volunteer
2015-2017 Tennessee Office of Refugees, Tutor
2015 Scholarship of Teaching and Learning, Scholar
2014-2015 Vanderbilt Graduate Student Council, VP of Social Affairs

Invited Presentations

Oral Presentation SAS Global Forum 2017
Lucy D’Agostino McGowan, “Streamline Your Workflow: Integrating SAS, LaTeX, and R into a Single Reproducible Document.”
Oral Presentation SAS Global Forum 2016
Lucy D’Agostino McGowan, Robert A. Greevy, Jr, “Integrating SAS and R to Perform Optimal Propensity Score Matching.”
Oral Presentation SAS Global Forum 2015
Lucy D’Agostino McGowan, Alice Toll, “Using PROC SURVEYREG and PROC SURVEYLOGISTIC to Assess Potential Bias.”
Oral Presentation SAS Global Forum 2014
Lucy D’Agostino McGowan, Melody S. Goodman, Kimberly A. Kaphingst, “Using SAS/STAT¼ Software to Validate a Health Literacy Prediction Model in a Primary Care Setting.”

Contributed Presentations

Oral Presentation ENAR 2017
Lucy D’Agositno McGowan, Robert Alan Greevy, Jr, “Simplifying and Contextualizing Sensitivity to Unmeasured Confounding Tipping Point Analyses.”
Oral Presentation useR!2017
Lucy D’Agostino McGowan, Nick Strayer, Jeff Leek, “papr: Tinder for pre-prints, a Shiny Application for collecting gut-reactions to pre-prints from the scientific community.”
Speed (Oral + Poster) Presentation ASA Joint Statistical Meeting 2017
Lucy D’Agostino McGowan, Robert A. Greevy, Jr, “Contextualizing Sensitivity Analysis in Observational Studies: Calculating Bias Factors for Known Covariates.”
Poster ASA Joint Statistical Meeting 2016
Lucy D’Agostino McGowan, Robert A. Greevy, Jr, “Practical Guidance and Tools for Rule-Out Sensitivity to Unmeasured Confounding Analyses.”
Oral Presentation ASA Joint Statistical Meeting 2016
Ryan Jarrett, Lucy D’Agostino McGowan, “Assessing the Association Between Accident Injury Severity and NCAP Car Safety Ratings”.“
Speed (Oral + Poster) Presentation ASA Joint Statistical Meeting 2015
Lucy D’Agostino McGowan, Alice Toll, “Census Tract-Level Disparities: Examining Food Swamps and Food Deserts.”
Poster 141st American Public Health Association Annual Meeting 2013
Lucy D’Agostino McGowan, Melody S. Goodman, “Developing County-Level Estimates of Racial Disparities in Obesity Using Multilevel Reweighted Regression.”
Oral Presentation 141st American Public Health Association Annual Meeting 2013
Lucy D’Agostino McGowan, Melody S. Goodman, “Small Areal Estimation of Racial Disparities in Diabetes Using Multilevel Reweighted Regression.”
Poster SAS Analytics 2013
Lucy D’Agostino McGowan, Patrick J. McGowan, “Mining Through Resumes: Utilizing SAS to Increase Efficiency and Objectivity in the Hiring Process.”
Poster Northeast SAS Users Group 2013
Lucy D’Agostino McGowan, “SAS ¼ for Budgeting an Ideal Wedding.”
Oral Presentation Northeast SAS Users Group 2013
Lucy D’Agostino McGowan, Melody S. Goodman, “Using PROC GLIMMIX and PROC SGPLOT to Demon- strate County-level Racial Disparities in Obesity in North Carolina.”
Oral Presentation SAS Global Forum 2013
Lucy D’Agostino McGowan, Melody S. Goodman, “Multilevel Reweighted Regression Models to Estimate County-Level Racial Health Disparities Using PROC GLIMMIX.”


Author & Maintainer

googledrive: An R package that interfaces with Google Drive from R, allowing users to seamlessly manage files on Google Drive from the comfort of their console.

contributr: A Shiny Application developed in collaboration with Maelle and rOpenSci for finding beginner GitHub issues to contribute to.

papr: Tinder for pre-prints, a Shiny Application developed in collaboration with Jeff Leek and Nick Strayer for collecting gut-reactions to pre-prints from the scientific community


datasauRus: An R package made in collaboration with Steph Locke consisting of The Datasaurus Dozen, a set of datasets with the same summary statistics. They retain the same summary statistics despite having radically different distributions. The datasets represent a larger and quirkier object lesson that is typically taught via Anscombe’s Quartet.

meetupr: An R package authored and maintained by R-Ladies to interface with the Meetup API


cowsay: An R package that allows printing of character strings as messages/warnings/etc. with ASCII animals, including cats, cows, frogs, chickens, ghosts, and more.

RJafroc: And R package for analyzing data acquired using the Receiver Operating Characteristic paradigm and its extensions.

Peer-reviewed Publications

Roumie, CL, Min, JY, D’Agostino McGowan, L, Presley, C, Grijalva, CG, Hackstadt, AJ, Hung, AM, Greevy, RA, Elasy, T, Griffin, MR (2017). Comparative Safety of Sulfonylurea and Metformin Monotherapy on the Risk of Heart Failure: A Cohort Study. Journal of the American Heart Association, 6(4), e005379.

D’Agostino McGowan, L, Bullen, JA, Obuchowski, NA (2016). Location Bias in ROC Studies. Statistics in Biopharmaceutical Research, 8(3), 258-267.

Drake, BF, Brown, K, D’Agostino McGowan, L, Haslag-Minoff, J, Kaphingst, KA (2016). Secondary consent to biospecimen use in a prostate cancer biorepository. BMC Research Notes, 9(1), 346.

Kaphingst, KA, Stafford, JD,D’Agostino McGowan, L, Seo, J, Lachance, CR, Goodman, MS (2015). Effects of racial and ethnic group and health literacy on responses to genomic risk information in a medically underserved population.. Health Psychology, 34(2), 101.

Chen, Y, D’Agostino McGowan, L, Cimino, PJ, Dahiya, S, Leonard, JR, Lee, DA, Gutmann, DH (2015). Mouse low-grade gliomas contain cancer stem cells with unique molecular and functional properties. Cell reports, 10(11), 1899-1912.

D’Agostino McGowan, L, Stafford, JD, Thompson, VL, Johnson-Javois, B, Goodman, MS (2015). Quantitative evaluation of the community research fellows training program. Frontiers in public health, 3(1), NA.

Colditz, GA, D’Agostino McGowan, L, James, AS, Bohlke, K, Goodman, MS (2014). Screening for colorectal cancer: Using data to set prevention priorities. Cancer Causes & Control, 25(1), 93-98.

Diggs‐Andrews, KA, Brown, JA, Gianino,SM, D’Agostino McGowan, L, Rubin, JB, Wozniak, DF, Gutmann, DH (2014). Reply. Annals of neurology, 75(5), 800-801.

Fisher, MJ, Loguidice, M, Gutmann, DH, Listernick, R, Ferner, RE, Ullrich, NJ, Packer, RJ, Tabori, U, Hoffman, RO, Ardern‐Holmes, SL, Hummel, TR, Hargrave DR, Bouffet E, Charrow J, Bilaniuk LT, Balcer LJ, D’Agostino McGowan, L , Liu GT (2014). Gender as a disease modifier in neurofibromatosis type 1 optic pathway glioma. Annals of neurology, 75(5), 799-800.

Griffey, RT, Kennedy, SK, D’Agostino McGowan, L, Goodman, MS, Kaphingst, KA (2014). Is low health literacy associated with increased emergency department utilization and recidivism?. Academic Emergency Medicine, 21(10), 1109-1115.

D’Agostino McGowan, L, Gennarelli, RL, Lyons, SA, Goodman, MS (2013). Using small-area analysis to estimate county-level racial disparities in obesity demonstrating the necessity of targeted interventions. International journal of environmental research and public health, 11(1), 418-428.