Faculty

Constantin T. Yiannoutsos, PhD, MS

Professor, School of Public Health

Phone (317) 278-3045

Address

HS 3031
BIOT
IN
Indianapolis, IN

Download CV

Bio

https://www.ncbi.nlm.nih.gov/pubmed/?term=yiannoutsos+C+OR+yainnoutsos+OR+yianoutsos

Key Publications

Bakoyannis G, Zhang Y, Yiannoutsos CT. Semiparametric regression and risk prediction with competing risks data under missing cause of failure. Lifetime Data Anal. 2020 Jan 25. doi: 10.1007/s10985-020-09494-1.

Tran L, Yiannoutsos CT, Wools-Kaloustian KK, Siika A, van der Laan MJ, Petersen M. Double robust efficient estimators of longitudinal treatment effects: Comparative performance in simulations and a case study. Int J Biostat. 2019 Feb 26.

Tymejczyk O, Brazier E, Yiannoutsos C, Wools-Kaloustian K, Althoff K, Crabtree-Ramírez B, Van Nguyen K, Zaniewski E, Dabis F, Sinayobye JD, Anderegg N, Ford N, Wikramanayake R, Nash D; IeDEA Collaboration. HIV treatment eligibility expansion and timely antiretroviral treatment initiation following enrollment in HIV care: A metaregression analysis of programmatic data from 22 countries. PLoS Med. 2018 Mar 23;15(3):e1002534.

Titles & Appointments

Professor, School of Public Health
Adjunct Professor of Biostatistics & Health Data Science
Adjunct Professor, Mathematics

Education

1991 PhD University of Connecticut

1989 MS University of Connecticut

1986 BA Central Connecticut State University
Research

Dr. Yiannoutsos performs application-motivated research. He is interested in diagnostic test validation, sequential models, clinical-trial design and Bayesian methods. His biomedical research focus is in HIV/AIDS, particularly in research-constrained settings in low to middle-income countries (LMIC). He is co-director of the East Africa Regional Consortium of the International Epidemiology Databases to Evaluate AIDS (IeDEA), a consortium of health centers providing care and treatment to people living with HIV/AIDS in Kenya, Uganda and Tanzania. Dr. Yiannoutsos and his colleagues use data obtained from clinical care to address major epidemiologic questions about the worldwide HIV/AIDS pandemic.

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