Research

Peer-Reviewed Articles

2022 Temporal models for demographic and global health outcomes in multiple populations: Introducing a new framework to review and standardize documentation of model assumptions and facilitate model comparison. Herbert Susmann, Monica Alexander, and Leontine Alkema. International Statistical Review. [ArXiv]
2021 Outcomes from Returning Individual versus Only Study-Wide Biomonitoring Results in an Environmental Exposure Study Using the Digital Exposure Report-Back Interface (DERBI). Julia Green Brody, Piera Cirillo, Katherine Boronow, Laurie Havas, Marj Plumb, Herbert Susmann, Krzysztof Gajos, Barbara Cohn. Environmental Health Perspectives.
2020 Consumer behavior and exposure to parabens, bisphenols, triclosan, dichlorophenols, and benzophenone-3: Results from a crowdsourced biomonitoring study. Robin Dodson, Katherine Boronow, Herbert Susmann, Julia Udesky, Kathryn Rodgers, David Weller, Million Woudneh, Julia Green Brody, and Ruthann Rudel. International Journal of Hygiene and Environmental Health.
2019 Dietary habits related to food packaging and population exposure to PFASs. Herbert Susmann, Laurel Schaider, Kathryn Rodgers, and Ruthann Rudel. Environmental Health Perspectives.
2017 DERBI: a digital method to help researchers offer "right-to-know" personal exposure results. Katherine Boronow, Herbert Susmann, Krzysztof Gajos, Ruthann Rudel, Kenneth Arnold, Phil Brown, Rachel Morello-Frosch, Laurie Havas, and Julia Green Brody. Environmental Health Perspectives.
2013 rlme: An R package for rank-based estimation and prediction in random effects nested models. Yusuf Bilgic and Herbert Susmann. The R Journal.

Conferences

Selected Presentations

2022 Un Estimateur Ciblé Général pour les Modèles Structurels Marginaux [General Targeted Estimation for Marginal Structural Models]. Herbert Susmann and Antoine Chambaz. 9ème Rencontres des Jeunes Statisticien.ne.s 2022.
2021 Estimation Bayésienne Ciblée de Modèles Structurels Marginaux [Bayesian Targeted Estimation of Marginal Structural Models]. Herbert Susmann and Antoine Chambaz. Forum des Jeunes Mathématicien.ne.s 2021.
2021 Estimating Demographic and Global Health Indicators for Multiple Countries and Periods in the Context of Missing Data and Data Quality Issues: Introducing a Class of Temporal Models for Multiple Populations to Facilitate Model Comparison. Herbert Susmann, Monica Alexander, Leontine Alkema. Population Association of America (PAA) Annual Meeting 2021. [slides]
2019 Point-Process Analysis of Modern Contraceptive Use in the Lake Victoria Region of East Africa. Herbert Susmann, Krzysztof Sakrejda, Chuchu Wei, Leontine Alkema. Population Association of America Annual Meeting 2019.
2017 Increasing Access to Environmental Health Knowledge Through Smartphone Results Reports. Kathryn Boronow, Herbert Susmann, Piera Cirillo, Nickilou Krigbaum, Laurie Havas, Barbara Cohn, Julia Green Brody. Breast Cancer and the Environment Research Program 12th Annual Meeting 2017.
2017 DERBI: A digital framework for personalizing exposure reports at the individual and community levels. Julia Green Brody, Herbert Susmann, Kathryn Boronow, Jennie Ohayon. International Society of Exposure Scientists (ISES) Annual Meeting 2017.
2017 Fluorinated compounds are common in U.S. fast food packaging and potentially contribute to population-wide PFAS exposure. Laurel Schaider, Simona Balan, Arlene Blum, Herbert Susmann, David Andrews, Mark Stryar, Ruthann Rudel, Robin Dodson, Graham Peaslee. International Society of Exposure Scientists (ISES) Annual Meeting 2017.
2015 DERBI, a New Digital Reporting Tool, Helps Study Participants and Researchers See Insights about Personal Exposure. JG Brody, HP Susmann, Ruthann Rudel, Kenneth Arnold, Serena Ryan, Krzysztof Gajos. International Society of Exposure Scientists (ISES) Annual Meeting 2015.
2014 Computational Techniques for the Analysis of Big Data in R: A Case Study of the rlme Package. Herbert Susmann, Yusuf Bilgic. UP-Stat 2014.

Invited Talks

2022 Un Estimateur Ciblé Général pour les Modèles Structurels Marginaux [A General Targeted Estimator for Marginal Structural Models]. Séminaire de Statistiques, MAP5, Université de Paris.