Photo of Emil  Coman, PhD

Emil Coman, PhD

Assistant professor (in residence)
Department of Public Health Sciences
Family Medicine Center at Asylum Hill
Academic Office Location:
Health Disparities Institute
241 Main Street, 5th floor
Hartford, CT 06106-7030
Phone: 860-679-6213
Fax: 860-679-1434
Email: COMAN@uchc.edu
Website(s):

Statistical consulting blog

Methods Assistance

Intro to causality

Curriculum Vitae:
Education
DegreeInstitutionMajor
PhDUniversity of ConnecticutCommunication science

Post-Graduate Training
TrainingInstitutionSpecialty
Mentored byUniversity of ConnecticutCausality infused structural modeling, statistics in general - mentored by David Kenny
Professional TrainingCausal modeling - distance-mentored by Judea Pearl

I. Evidence-Based Medicine/Information Mastery for medical residents
- Assisting residents of the Dept. of Family Medicine (Asylum Hill) in weighing medical evidence from various sources, with an emphasis on translating statistical tools used in assessing and applying such evidence in patient care.
* Topics covered: meta-analysis; tests and treatments; measurement and analytics.
II. Graduate teaching
* (planned for Spring 2024) Applied Structural Equation Modeling in Public Health Research [independent study]
* Invited lectures on: Instrument Development @ http://tinyurl.com/instrmeasur & Propensity Score Matching @ http://bit.ly/psm_med , and Measurement of health disparities @ http://bit.ly/measure_hd
* (planned) : Spatial Epidemiology: Mapping and Analytics
* Conducted 2 semesters dissertation research - public health independent study courses on ‘Path analysis and causal modeling’ and ‘Structural equation and causal modeling’.
III. Recent Peer Reviewed Presentations:
* NAPCRG workshop: An applied demonstration on geographic data use, mapping, and spatial analytics with PolicyMap.com, GeoDa, QGIS, and Tableau, 2022 - all files @ http://bit.ly/napcrg_spatial
* Comparative benefits of analyzing spatial aggregate data using Stata’s Sp versus gsem and sem, 2022, Stata (Users Group) Conference, Washington DC @ http://tinyurl.com/stataspatial
* Mapping, visualizing and analyzing mechanisms behind social vulnerability and health disparities using spatial data, Geography Colloquium Storrs, CT, Sept. 23, 2022 @ http://bit.ly/geopathanalysis http://modeling.uconn.edu/2023archive/
* Modern Modeling Methods Conference, Storrs, CT, 2023: (1). Reenergizing Lost Modeling Treasures: The 100+ Years Old Path Analytic Tracing Rule @ http://tinyurl.com/mmmtracing ; (2). Assessing Differences in Medical Debt in CT by Racial/Ethnic Minorities Using Modern Spatial Path Analytic Methods @ http://tinyurl.com/mmmdebt ; (3). Boosting Powers by Combining Spatial Econometrics with Dyadic Analysis and SEM: Racial/Ethnic Differences in Life Expectancy across the US States @ http://tinyurl.com/mmmdyadic
IV. Some helpful Tips and Supplementary Materials
1. http://bit.ly/IVs_cicats - Instrumental Variable estimation introduction. Biostatistics journal club meeting, CICATS UConn Health, Farmington, CT.
2. http://bit.ly/lcs_in_SAS :-Asking causal questions through latent change/difference scores (LC/D score in SAS & …). Biostatistics journal club meeting, CICATS UConn Health, Farmington, CT.
3. http://bit.ly/eConsult1_mplus - Mplus code and output for A Cost Effectiveness Analysis of Cardiology eConsults for Medicaid Patients
4. http://bit.ly/disparitiestippingpoint - Mplus and Stata code for Examining Differential Resilience Mechanisms by Comparing ‘Tipping Points’ of the Effects of Neighborhood Conditions on Anxiety by Race/Ethnicity
5. http://bit.ly/LCSas_t-test – Code for The paired t-test as a simple model with a latent change score.
6. https://bit.ly/pos_frontiers - Mplus and SAS code for Commentary: Muthén, B., & Asparouhov, T. (2014). Causal effects in mediation modeling: An introduction with applications to latent variables.
Contact me at coman@uchc.edu for detailed methods questions or requests.

Name & DescriptionCategoryRoleTypeScopeStart YearEnd Year
Public Issues CouncilAdvisory CommitteeMemberUConn HealthUniversity20242026
NAPCRG - North American Primary Care Research GroupProfessional/Scientific OrganizationUS co-chair of the CASFM Research Methods Working GroupExternalInternational20222024

Journal Articles

Conference Papers

Title or AbstractTypeSponsor/EventDate/YearLocation
Combining primary care patient data with geographic data to evaluate potential changes in health inequities https://napcrg.org/conferences/2020/sessions/6737Otherorth American Primary Care Research Group - NAPCRG2024Quebec City, Canada
Modern Spatial Path Analytic Tools to Investigate the Geography of Medical Debt across a US State. https://modeling.media.uconn.edu/wp-content/uploads/sites/1188/2024/08/MMM2024Coman_Modern-Spatial-Path-Analytic-Tools.pdfTalkModern Modeling Methods MMM2024Storrs, CT
Investigating the Life Expectancies Differences in the U.S. by Comparing Naive and Spatial Analytic Methods across Census Tracts, Counties, and States. https://modeling.media.uconn.edu/wp-content/uploads/sites/1188/2024/08/MMM2024Coman_Investigating-the-Life-Expectancies-Differences-in-the-US.pdfTalkModern Modeling Methods MMM2024Storrs, CT
Restructuring Basic Statistical Curricula: Mixing Older Analytic Methods with Modern Software Tools in Psychological Research. https://modeling.media.uconn.edu/wp-content/uploads/sites/1188/2024/08/MMM2024Coman_Restructuring-Basic-Statistical-Curricula.pdfTalkModern Modeling Methods MMM2024Storrs, CT
Assessing Differences in Medical Debt in CT by Racial/Ethnic Minorities Using Modern Spatial Path Analytic Methods @ http://tinyurl.com/mmmdebt TalkModern Modeling Methods Conference2023Storrs, CT
Boosting Powers by Combining Spatial Econometrics with Dyadic Analysis and SEM: Racial/Ethnic Differences in Life Expectancy across the US States @ http://tinyurl.com/mmmdyadic TalkModern Modeling Methods Conference2023Storrs, CT
Reenergizing Lost Modeling Treasures: The 100+ Years Old Path Analytic Tracing Rule @ http://tinyurl.com/mmmtracingTalkModern Modeling Methods Conference2023Storrs, CT
An applied demonstration on geographic data use, mapping, and spatial analytics with PolicyMap.com, GeoDa, QGIS, and Tableau http://bit.ly/napcrg_spatial TalkNAPCRG 2022
Comparative benefits of analyzing spatial aggregate data using Stata’s Sp versus gsem and sem http://tinyurl.com/stataspatial TalkStata (Users Group) Conference2022Washington DC
Mapping, visualizing and analyzing mechanisms behind social vulnerability and health disparities using spatial data http://bit.ly/geopathanalysis TalkGeography Colloquium Storrs, UConn2022Storrs, CT
Modeling health disparities with a unique combinations of 1-on-1 matching and latent difference and latent change scores; Coman, E. N., Wilson, C., Melville, A., & Fifield, J. [download: http://bit.ly/HD_1-on-1 ]TalkModern Modeling Methods (M3) Conference2018Storrs, CT
A methodical review of the causal role of socioeconomic determinants of health disparities; Coman, E. N., Wu. H., & Assari, S. [download: http://bit.ly/HD_causal_model ]TalkModern Modeling Methods (M3) Conference2018Storrs, CT