Departmental Affiliations
Center & Institute Affiliations
Research Interests
Epidemiology; Epidemiologic Methods; Causal Inference; Survival Analysis; Time-varying Analysis; HIV/AIDS; Substance Use
Experiences & Accomplishments
My research has largely sat at the intersection of causal inference and epidemiologic methods with substantive questions, with work spanning the areas of HIV/AIDS, substance use, environmental, and reproductive epidemiology. I am broadly interested in the application of advanced methods to overcome the challenges encountered in complex, realistic data, such as competing events, time-varying data structures, and generalizability. Currently, I am pursuing work within the context of HIV/AIDS observational cohort studies, focusing on the intersection of HIV and chronic comorbidities and substance use. I am also dedicated to the dissemination of novel, advanced methods within the epidemiologic community – making these methods more accessible to use while also making their theory, strengths, and weakness better understood.
Select Publications
Selected Publications:
Rudolph JE, Benkeser D, Kennedy EH, Schisterman EF, Naimi AI. Estimation of the average causal effect in longitudinal data with time-varying exposures: the challenge of non-positivity and the impact of model flexibility. Am J Epidemiol. 2022; In Press.
Rudolph JE, Cartus A, Bodnar LM, Schisterman EF, Naimi AI. The role of the natural course in causal analysis. Am J Epidemiol. 2021; 191(2): 341-348. DOI: 10.1093/aje/kwab248
Rudolph JE, Fox MP, Naimi AI. Simulation as a tool for teaching and learning epidemiologic methods. Am J Epidemiol. 2021; 190(5): 900-907. DOI: 10.1093/aje/kwaa232
Rudolph JE, Lesko CR, Naimi AI. Causal inference in the face of competing events. Curr Epi Reports. 2020; 7: 125-131. DOI: 10.1007/s40471-020-00240-7
Rudolph JE, Cole SR, Eron JJ, Kashuba AD, Adimora AA. Estimating HIV prevention effects in low incidence settings. Epidemiology. 2019; 30(3): 358-364. DOI: 10.1097/EDE.0000000000000966