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 in Biostatistics, May 2018
Thesis:
Improving Modern Techniques of Causal Inference: Finite Sample
Performance of ATM and ATO Doubly Robust Estimators, Variance Estimation
for ATO Estimators, and Contextualized Tipping Point Sensitivity
Analyses for Unmeasured Confounding
Washington University School
of Medicine MS in Biostatistics, December 2013
Thesis: Quantitative Assessment of the Community Research
Fellows Training Program
University of North Carolina
at Chapel Hill BA in Religious Studies and
Romance Languages, May 2012
with Distinction and Highest
Honors
| 2022-present |
Wake Forest University School of Medicine Secondary Joint Appointment, Department of Biostatistics and Data Science |
| 2018-2019 |
Johns Hopkins Bloomberg School of Public Health Postdoctoral fellow with Jeffrey Leek |
| 2017 March-August |
RStudio Internship under Jenny Bryan developing the googledrive R 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, 2017-2018 |
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, Washington University School of Medicine 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 |
Washington University School of Medicine Research Assistant, Gutmann Research Laboratory, 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. |
| 2023 | ASA Teaching of Statistics in the Health Sciences Young Investigator Award |
| 2023 | ASA StatsForward Fellow |
| 2020 | JupyterCon Invited Keynote Speaker |
| 2019 | Winning team, ASA Leadership Challenge |
| 2018 | Vanderbilt Biostatistics Travel Award (ENAR) |
| 2017 | NASA Datanauts, Class of 2017 |
| 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 |
| 2022-2023 | Founding co-organizer, Wake Forest University Florence Nightingale Day |
| 2022 | Co-organizer, WFU Conference on Communicating with Healthcare Data |
| 2022 | Chair, Data Jamboree ASA Section on Statistical Computing Symposium |
| 2019-2022 | Casual Inference Podcast co-host, sponsored by the American Journal of Epidemiology |
| 2017-2018 | President, Vanderbilt Biostatistics Graduate Student Association |
| 2017-2018 | Abstract reviewer, R-Ladies Global |
| 2016-2019 | Co-founder, Co-organizer, R-Ladies Nashville |
| 2016-2017 | President, Vanderbilt Graduate Student Council |
| 2016-2017 | Vice President, Vanderbilt Biostatistics Graduate Student Association |
| 2016 | useR Student Volunteer |
| 2015-2016 | Tutor, Tennessee Office of Refugees |
| 2015 | Scholar, Scholarship of Teaching and Learning |
| 2014-2015 | Vice President of Social Affairs, Vanderbilt Graduate Student Council |
| 2023 | Chair, ASA Section on Statistical Graphics |
| 2023 | Associate Editor for Reproducibility, JASA |
| 2023 | Associate Editor, R Journal |
| 2022 | Chair elect, ASA Section on Statistical Graphics |
| 2021-2023 | Council on Emerging and New Statisticians Liaison, ENAR Regional Advisory Board |
| 2021 | Chair, ASA Committee on Women in Statistics |
| 2020-2023 | Member, ENAR Regional Advisory Board |
| 2020-2022 | Committee of Presidents of Statistical Societies (COPSS) Communications Officer |
| 2020-2021 | Committee member, ENAR Program Committee |
| 2020 | Vice-chair, Chair-elect, ASA Committee on Women in Statistics |
| 2019-2022 | Associate Editor (Social Media), The American Journal of Epidemiology |
| 2019-2021 | ASA Council of Sections Representative, Section on Statistical Computing |
| 2019-2021 | Committee member, ASA Computing and Graphics Student Paper Award Selection Committee |
| 2019 | Committee member, ASA Committee on Women in Statistics |
| 2019 | Interim Program Chair, ASA Statistics Communication Interest Group |
| 2018 | Committee member, Women in Statistics and Data Science Service Project |
| 2017-2018 | President, Nashville ASA Student Chapter |
| 2017 | Panelist, Inaugural ASA Student Chapter Workshop |
| 2016-2017 | Vice President, Co-founder, Nashville ASA Student Chapter |
| 2014 | Abstract reviewer, Applied Public Health Statistics, American Public Health Association |
Lucy D’Agostino McGowan, “Causal Inference Challenges that Go Beyond Statistics.”Oral Presentation U Mass Amherst Department of Biostatistics and Epidemiology Seminar Spring 2023
Lucy D’Agostino McGowan, “Practical Principles for Data Analysis Design.”Oral Presentation ASA Joint Statistical Meeting 2023
Lucy D’Agostino McGowan, “A Visual Diagnostic Tool for Causal Inference.”Panel ENAR 2023
Xiangrong Kong, Torri Simon, Andrew Spieker, Briana Stephenson, Lucy D’Agostino McGowan, “Kickstart your Career: How to Maximize Those Early Years.”Panel WFU CAT ChatGPT Learning Series
Amanda Corris, Lucy D’Agostino McGowan, Justin Esarey, Jerid Francom, Dwayne Godwin, Jed Macosko, “The Science of ChatGPT.”Oral Presentation WFU Medicine Translational and Health System Science Guest Lecture
Lucy D’Agostino McGowan, “Causal Inference is not just a statistics problem.”Oral Presentation Open Science ReproducibiliTea
Lucy D’Agostino McGowan, “Causal Inference is not a statistics problem.”Oral Presentation Appalachian State University
Lucy D’Agostino McGowan, “Estimating causal effects: this be madness, yet there is method in it.”Oral Presentation Duke University Department of Statistical Science
Lucy D’Agostino McGowan, “Causal Quartet: When statistics alone do not tell the full story.”Oral Presentation CDC Statistical Advisory Group 2022
Lucy D’Agostino McGowan, “The Journey to True: Accurate Statistical Communication.”Oral Presentation WFU Department of Biostatistics and Data Science Seminar 2022
Lucy D’Agostino McGowan, “Modern Statistical Communication in the Social Media Era.”Panel North Carolina Translational and Clinical Sciences Institute
Lucy D’Agostino McGowan, “What is the value of the p-value?.”Panel National Institute of Statistical Sciences Graduate Student Conference 2022
Lucy D’Agostino McGowan, “Tips for Statistical Communication and Data Storytelling.”Panel The Wake Forest 2022 Conference on Analytics Impact 2022
Lucy D’Agostino McGowan, “Panel Discussion: Communicating during a pandemic: what worked, what didn’t and what’s next.”Workshop Rstudio::conf 2022
Lucy D’Agostino McGowan and Malcolm Barrett, “Causal Inference in R.”Oral Presentation R/Medicine 2022
Lucy D’Agostino McGowan, “ConTESSA: A shiny application to assist with evaluating the impact of COVID-19 test-trace-isolate programs.”Workshop Posit Tidymodels Team
Lucy D’Agostino McGowan and Malcolm Barrett, “Causal Inference in R.”Oral Presentation Duke Clinical Research Institute Fellows Seminar Series Fall 2022
Lucy D’Agostino McGowan, “Statistical Myths and Misuse: Abandoning Outdated Statistical Practices.”Panel ENAR 2021
Lucy D’Agostino McGowan, Caitlin Rivers, Eleanor Murray, Kareem Carr, Jeffrey Leek, “Communicating Complex Statistical Concepts to Collaborators, Stakeholders, and the General Public.”Oral Presentation ASA Joint Statistical Meeting 2021
Lucy D’Agostino McGowan, “Examining the Impact of Software Instruction on Completion of Data Analysis Tasks.”Oral Presentation R-Ladies Baltimore 2021
Lucy D’Agostino McGowan, “Let’s get meta: analyzing your R code with tidycode.”Oral Presentation Wake Forest University BI and Analytics Meeting Februrary 2021
Lucy D’Agostino McGowan, “Hill’s Criteria for the Data Scientist: Incorporating Causal Inference Techniques.”Workshop New York R Conference 2021
Lucy D’Agostino McGowan and Malcolm Barrett, “Causal Inference in R.”Panel R-Ladies NYC
Lucy D’Agostino McGowan, Lynsie Daley, Kat Hoffman, Michael Kane, “Panel Discussion: Working with and learning from COVID-19 data.”Workshop ASA K-12 Virtual Workshops 2020
Lucy D’Agostino McGowan and Shannon Ellis, “Using RStudio Cloud in the Classroom.”Oral Presentation ENAR 2020
Lucy D’Agostino McGowan, “Tools for analyzing R code the tidy way.”Panel eCOTS 2020
Laura Le, Kari Lock Morgan, Lucy D’Agostino McGowan, “Panel: Engaging Students during the COVID-19 Health Crisis.”Oral Presentation SDSS 2020
Lucy D’Agositno McGowan, “Best Practices for Teaching R A Randomized Controlled Trial.”Oral Presentation ASA Joint Statistical Meeting 2020
Lucy D’Agostino McGowan, “The Ups and Downs of Communicating Complex Statistics.”Panel NC School of Science and Math Data Science Panel 2020
Lucy D’Agostino McGowan, “Data Science at Wake Forest University.”Keynote JupyterCon 2020
Lucy D’Agostino McGowan, “Equipping and empowering future data scientists with confidence, intuition, and communication skills.”Oral Presentation CDC R Group 2020
Lucy D’Agostino McGowan, “ConTESSA: A Shiny App to Help Quantify Contact Tracing Efficacy.”Oral Presentation Wake Forest School of Medicine Methods Conference 2020
Lucy D’Agostino McGowan, “Applied Demonstration of the tipr R Package.”Workshop user!2020
Lucy D’Agostino McGowan and Malcolm Barrett, “Causal Inference in R.”Workshop R in Governement Conference
Lucy D’Agostino McGowan and Malcolm Barrett, “Causal Inference in R.”Workshop ENAR 2019
Lucy D’Agostino McGowan, “Data Visualizations with ggplot2.”Keynote Macalester College 2019
Lucy D’Agostino McGowan, “There and back again, a data scientist’s tale.”Oral Presentation ASA Joint Statistical Meeting 2019
Lucy D’Agostino McGowan, “Challenges in Augmenting Randomized Trials with Observational Health Records.”Oral Presentation ENAR 2018
Lucy D’Agostino McGowan, Robert A. Greevy, Jr, “Exploring finite-sample bias in propensity score weights.”Oral Presentation Data Day Texas 2018
Lucy D’Agostino McGowan, “Making Causal Claims as a Data Scientist: Tips and Tricks Using R.”Oral Presentation ASA Joint Statistical Meeting 2018
Lucy D’Agostino McGowan, “Harnessing the Power of the Web via R Clients for Web APIs.”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 R-Ladies Nashville 2017
Lucy D’Agostino McGowan, “An R + GitHub Journey.”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/STAT® Software to Validate a Health Literacy Prediction Model in a Primary Care Setting.”
Lucy D’Agostino McGowan, “Design Thinking: Empirical Evidence for Six Principles of Data Analysis.”Oral Presentation rstudio::global 2021
Lucy D’Agostino McGowan, “Designing Randomized Studies using Shiny.”Oral Presentation Women in Statistics and Data Science 2021
Lucy D’Agostino McGowan, “Bringing Data Science Communication into the Classroom.”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.”Panel Women in Statistics and Data Science 2017
Jenny Bryan, Mine Cetinkaya-Rundel, Lucy D’Agostino McGowan, Gabriela de Queiroz, Mine Dogucu, Katherine Scranton, Jennifer Thompson, “R-Ladies Panel: Improving gender diversity in a male-dominated community.”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 ® 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 Demonstrate 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.”
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.
D’Agostino McGowan L, Peng RD, Hicks SC (2022). “Design Principles for Data Analysis.” Journal of Computational and Graphical Statistics, 1-14. doi:10.1080/10618600.2022.2104290 https://doi.org/10.1080/10618600.2022.2104290.
D’Agostino McGowan L, D’Agostino Sr RB, D’Agostino Jr RB (2023). “A Visual Diagnostic Tool for Causal Inference.” Observational Studies, 9(1), 87-95.
D’Agostino McGowan L (2022). “tipr: An R package for sensitivity analyses for unmeasured confounders.” Journal of Open Source Software, 7(77), 4495. doi:10.21105/joss.04495 https://doi.org/10.21105/joss.04495, https://doi.org/10.21105/joss.04495.
D’Agostino McGowan L (2022). “Sensitivity Analyses for Unmeasured Confounders.” Current Epidemiology Reports, 1-15.
Mendoza H, D’Agostino McGowan L (2022). “Randomized controlled trial: Quantifying the impact of disclosing uncertainty on adherence to hypothetical health recommendations.” Plos one, 17(12), e0278263.
+Cohen JB, +D’Agostino McGowan L, Jensen ET, Rigdon J, South AM (2021). “Evaluating sources of bias in observational studies of angiotensin-converting enzyme inhibitor/angiotensin II receptor blocker use during COVID-19: beyond confounding.” Journal of Hypertension, 39(4), 795.
Grantz KH, Lee EC, D’Agostino McGowan L, Lee KH, Metcalf CJE, Gurley ES, Lessler J (2021). “Maximizing and evaluating the impact of test-trace-isolate programs: A modeling study.” PLoS medicine, 18(4), e1003585.
Fox M, Carr K, D’Agostino McGowan L, Murray E, Hidalgo B, Banack H (2021). “Will Podcasting and Social Media Replace Journals and Traditional Science Communication? No, but…” American Journal of Epidemiology.
Molino AR, Andersen KM, Sawyer SB, Ðoàn LN, Rivera YM, James BD, Fox MP, Murray EJ, D’Agostino McGowan L, Jarrett BA (2022). “The Expert Next Door: Interactions With Friends and Family During the COVID-19 Pandemic.” American journal of epidemiology, 191(4), 552-556.
Rando HM, MacLean AL, Lee AJ, Ray S, Bansal V, Skelly AN, Sell E, Dziak JJ, Shinholster L, D’Agostino McGowan L, others (2021). “Pathogenesis, Symptomatology, and Transmission of SARS-CoV-2through Analysis of Viral Genomics and Structure.” mSystems. doi:10.1128/mSystems.00095-21 https://doi.org/10.1128/mSystems.00095-21.
Liberman JS, D’Agostino McGowan L, Greevy RA, Morrow JA, Griffin MR, Roumie CL, Grijalva CG (2020). “Mental health conditions and the risk of chronic opioid therapy among patients with rheumatoid arthritis: a retrospective veterans affairs cohort study.” Clinical Rheumatology, 1-10.
Fox MP, D’Agostino McGowan L, James BD, Lessler J, Mehta SH, Murray EJ (2020). “Concerns About the Special Article on Hydroxychloroquine and Azithromycin in High Risk Outpatients with COVID-19 by Dr. Harvey Risch.” American Journal of Epidemiology.
D’Agostino McGowan L, Kross S, Leek J (2020). “Tools for Analyzing R Code the Tidy Way.” The R Journal, 12(1), 226-242. doi:10.32614/RJ-2020-011 https://doi.org/10.32614/RJ-2020-011.
D’Agostino McGowan L, Grantz KH, Murray E (2021). “Quantifying Uncertainty in Mechanistic Models of Infectious Disease.” American Journal of Epidemiology, 190(7), 1377-1385.
Pun BT, Balas MC, Barnes-Daly MA, Thompson JL, Aldrich JM, Barr J, Byrum D, Carson SS, Devlin JW, Engel HJ, Esbrook CL, Hargett KD, Harmon LR, Hielsberg C, Jackson JC, Kelly TL, Kumar V, Millner L, Morse A, Perme CS, Posa PJ, Puntillo KA, Schweickert WD, Stollings JL, Tan A, D’Agostino McGowan L, Ely EW (2019). “Caring for critically ill patients with the ABCDEF bundle: results of the ICU liberation collaborative in over 15,000 adults.” Critical Care Medicine, 47(1), 3-14.
Singh DP, Gabriel A, Silverman RP, Griffin LP, D’Agostino McGowan L, D’Agostino Jr RB (2019). “Meta-analysis Comparing Outcomes of Two Different Negative Pressure Therapy Systems in Closed Incision Management.” Plastic and Reconstructive Surgery Global Open, 7(6).
Wickham H, Averick M, Bryan J, Chang W, D’Agostino McGowan L, François R, Grolemund G, Hayes A, Henry L, Hester J, Kuhn M, Pedersen TL, Miller E, Bache SM, Müller K, Ooms J, Robinson D, Seidel DP, Spinu V, Takahashi K, Vaughan D, Wilke C, Woo K, Yutani H (2019). “Welcome to the tidyverse.” Journal of Open Source Software, 4(43), 1686. doi:10.21105/joss.01686 https://doi.org/10.21105/joss.01686.
Griffin L, Carter M, D’Agostino Jr R, D’Agostino McGowan L (2019). “Comparative Effectiveness of Two Collagen-containing Dressings: Oxidized Regenerated Cellulose (ORC)/Collagen/Silver-ORC Dressing Versus Ovine Collagen Extracellular Matrix.” Wounds: a compendium of clinical research and practice, 31(11), E73.
Blume JD, D’Agostino McGowan L, Dupont WD, Greevy Jr RA (2018). “Second-generation p-values: Improved rigor, reproducibility, & transparency in statistical analyses.” PloS one, 13(3), e0188299.
Murff HJ, Roumie CL, Greevy RA, Hackstadt AJ, D’Agostino McGowan L, Hung AM, Grijalva CG, Griffin MR (2018). “Metformin use and incidence cancer risk: evidence for a selective protective effect against liver cancer.” Cancer causes & control : CCC, 27(10), 1-10.
D’Agostino McGowan L, Roumie CL (2018). “Sulfonylureas as second line treatment for type 2 diabetes.” BMJ, 362.
D’Agostino McGowan L (2018). Improving Modern Techniques of Causal Inference: Finite Sample Performance of ATM and ATO Doubly Robust Estimators, Variance Estimation for ATO Estimators, and Contextualized Tipping Point Sensitivity Analyses for Unmeasured Confounding. Ph.D. thesis, Vanderbilt University.
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 K (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 DY, 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, 179.
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 M, 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.
