Emily N Peterson, PhD

Department of Biostatistics and Bioinformatics, Emory University

Project maintained by Enpeterson Hosted on GitHub Pages — Theme by mattgraham

Contact Information

Emily N Peterson

Department of Biostatistics and Bioinformatics

Rollins School of Public Health

Emory University

1518 Clifton Rd., Atlanta, GA 30329

emily.nancy.peterson@emory.edu

https://github.com/Enpeterson

twitter @peterson_en

Education

Emory University, Atlanta, GA. 2020-2021. Post-Doctoral Fellowship. Postdoctoral mentor: Dr. Lance Waller.
University of Massachusetts Amherst, Amherst, MA. 2019. Doctor of Philosophy in Biostatistics. Adviser: Dr. Leontine Alkema.
Vanderbilt University, Nashville, TN. 2015. Master of Science in Biostatistics. Adviser: Dr. Tatsuki Koyama.
Penn State University, Hershey, PA. 2013. Master of Science in Public Health Sciences. Adviser: Dr. Vernon Chinchilli.
Davidson College, Davidson, NC. May 2006. Bachelor of Science in Psychology. With a research focus in Cognitive and Neuroscience Psychology.

Research

Primary Interests

I am passionate about developing statistical models and tools to assess spatial demographic and population-level health trends for small areas. My research focus is in Bayesian hierarchical small area disease mapping models, spatial epidemiology, and statistical demography.

Projects

- A Bayesian small area disease mapping model to incorporate spatial uncertainty associated with small area population counts.
- A Bayesian approach to estimate maternal mortality using national civil registration vital statistics data accounting for reporting errors. 
- A Bayesian hierarchical small area misclassification model to estimate extent of misclassification errors of maternal mortality by U.S. Pregnancy Mortality Surveillance Systems. 
- A Bayesian small area disease mapping model to estimate real-time small area estimates of crisis related deaths using innovative social mobility data
- A Bayesian hierarchical small-area population model accounting for data source specific methods from American Community Survey, Population Estimates Program, and Decennial Census data.
- A Bayesian hierarchical model to estimate the extent of reporting errors of maternal mortality by national vital registration systems

map

Collaborations

World Health Organization Maternal Mortality Interagency Group
Harvard T.H. Chan School of Public Health
UK Small Area Health Statistics Unit
University of Massachusetts Amherst
GA Department of Health
CDC Maternal Mortality Surveillance Group and Michael Kramer at Emory University Epidemiology Department
Oregon State Marine Mammal Institute

Publications

- EN Peterson, G Guranich, J Cresswell, L Alkema. A Bayesian approach to estimate maternal mortality using national civil registration vital statistics data accounting for misclassification errors. (In progress).
- EN Peterson, RC Nethery, T Padellini, JT Chen, BA Coull, FB Piel, J Wakefield, M Blangiardo, L Waller. A Bayesian hierarchical small-area population model accounting for data source specific methodologies from American Community Survey, Population Estimates Program, and Decennial Census data. Journal of Applied Statistics (submitted).
- EN Peterson, AB Moller, A Gemmill, D Chou, L Alkema. A Bayesian temporal hierarchical model to assess levels of misclassification error in national vital registration maternal mortality data. Statistics in Medicine (accepted).
- RC Nethery, JT Chen, N Krieger, PD Waterman, EN Peterson, LA Waller, BA Coull. Statistical implications of endogeneity induced by residential segregation in small-area modelling of health inequities. The American Statistician (accepted).
- NB Jain, JE Kuhn, GD Ayers, A Song, EN Peterson. Geographical Variation in Rates of Shoulder and Knee Arthroscopy in U.S. States and Relationship to Orthopedist Density in Surgeon Volume. JAMA. 2019. 11; 2(12).  doi: 10.1001/jamanetworkopen.2019.17315
- NB Jain, GD Ayers, EN Peterson, MB Harris, L Morse, KC O'Connor, E Garshick.  Traumatic spinal cord injury in the United States, 1993-2012. JAMA. 2015. 9;313(22). 2236-43.
- A Morandi, LM Solberg, R Habermann, P Cleeton, EN Peterson, EW Ely, J Schnelle. Documentation and Management of Words Associated with Delirium Among Elderly Patients in Postacute Care: A Pilot Investigation. JAMDA. 2009. 34-339.
- S.F.Simmons, EN Peterson, C.You. The Accuracy of Monthly Weight Assessments in Nursing Homes: Implications for the Identification of Weight Loss. Journal of Nutrition, Health and Aging. 2009. 13, 3, 284-288.
- JF Schnelle, SF Simmons, L Beuscher, EN Peterson, R Habermann, F Leung. Prevalence of Constipation Symptoms in Nursing Home Residents. Journal of Gerontology. 2009.

Teaching

I am passionate about teaching introductory courses in Biostatistics, Bayesian statistics, and Spatial statistics. I enjoy teaching students that come from various backgrounds, skill sets, and with a variety of interests an applications. My teaching philosophy is to engage students where they live, meaning make the topics we are teaching relevant and applied to their research area or interest, whether that is public policy, environmental science, and others. The most dynamic lectures have been those where students are able to see how statistical concepts are applicable in their field.

Courses

- Teaching Assistant: “Introduction to Geographic Information Systems”. Emory University. INFO 530. Fall 2021.
- Teaching Assistant: “Advanced Geographic Information Systems”. Emory University. INFO 532. Fall 2021.
- Teaching Assistant: “Introduction to Bayesian Statistics”. University of Massachusetts.  BIOS 697. Spring 2017.
- Teaching Assistant: “Introduction to Biostatistics”. University of Massachusetts. BIOSTATS 540. Spring 2016.

Interesting Books and Articles

https://covid19.healthdata.org/global?view=cumulative-deaths&tab=trend

https://thriveglobal.com/stories/in-defense-of-old-ideas/

https://www.youtube.com/watch?v=tvGkosE5A6w

https://www.thinkglobalhealth.org/article/united-states-has-mommy-issues

https://natureworldtoday.com/dude-with-a-sign-is/8/