Stefano Guerra

Stefano Guerra

Director, Epidemiology
Professor, Public Health
Professor, Medicine - (Tenure Track)
Research Scientist, Respiratory Sciences
Professor, BIO5 Institute
Contact
(520) 626-7411

Work Summary

Work Summary

Stefano Guerra's work includes an epidemiologic study, which used a household-based approach to assess prevalence and longitudinal changes in respiratory health. Other biomarker projects include a study on molecular biomarkers of asthma and COPD from the European Community Respiratory Health Survey.

Research Interest

Stefano Guerra, MD, PhD, is a professor of Medicine, the Director of the Population Science Unit at the Asthma and Airway Disease Research Center, and a leading expert in the natural history and biomarkers of obstructive lung diseases, including asthma and chronic obstructive pulmonary disease (COPD). As principal investigator, he is engaged in the leadership and coordination of multiple studies that use bio-specimens and phenotypic information from independent epidemiological cohorts to characterize the natural history, profile the risk factors, and identify novel biomarkers of lung diseases.

Publications

Beamer, P., Loh, M. M., Klimecki, W., Ornelas Van Horne, Y., Sugeng, A. J., Lothrop, N. Z., Billheimer, D. D., Guerra, S., Lantz, R. C., Canales, R. A., & Martinez, F. (2016). Association of children's urinary CC16 levels with arsenic concentrations in multiple environmental media. International Journal of Environmental Research and Public Health.
BIO5 Collaborators
Paloma Beamer, Dean Billheimer, Stefano Guerra, Walter Klimecki, Clark Lantz, Fernando Martinez
Beamer, P. I., Klimecki, W. T., Loh, M., Van Horne, Y. O., Sugeng, A. J., Lothrop, N., Billheimer, D., Guerra, S., Lantz, R. C., Canales, R. A., & Martinez, F. D. (2016). Response to García-Nieto et al. Comments on Beamer et al. Association of Children's Urinary CC16 Levels with Arsenic Concentrations in Multiple Environmental Media. Int. J. Environ. Res. Public Health 2016, 13, 521. International journal of environmental research and public health, 13(10).
BIO5 Collaborators
Paloma Beamer, Dean Billheimer, Stefano Guerra, Walter Klimecki, Clark Lantz, Fernando Martinez

We would like to thank the editors for providing us with the opportunity to respond to the points raised by Dr. García Nieto.[...].

Chen, Y., Vasquez, M. M., Zhu, L., Lizarraga, R. E., Krutzsch, M., Einspahr, J., Alberts, D. S., Di, P. Y., Martinez, F. D., & Guerra, S. (2017). Effects of Retinoids on Augmentation of Club Cell Secretory Protein. American journal of respiratory and critical care medicine.
BIO5 Collaborators
Yin Chen, Stefano Guerra
Vasquez, M. M., Hu, C., Roe, D. J., Chen, Z., Halonen, M., & Guerra, S. (2016). Least absolute shrinkage and selection operator type methods for the identification of serum biomarkers of overweight and obesity: simulation and application. BMC medical research methodology, 16(1), 154.
BIO5 Collaborators
Zhao Chen, Stefano Guerra, Chengcheng Hu

The study of circulating biomarkers and their association with disease outcomes has become progressively complex due to advances in the measurement of these biomarkers through multiplex technologies. The Least Absolute Shrinkage and Selection Operator (LASSO) is a data analysis method that may be utilized for biomarker selection in these high dimensional data. However, it is unclear which LASSO-type method is preferable when considering data scenarios that may be present in serum biomarker research, such as high correlation between biomarkers, weak associations with the outcome, and sparse number of true signals. The goal of this study was to compare the LASSO to five LASSO-type methods given these scenarios.

Huang, S., Chengcheng, H., Bell, M., Billheimer, D., Guerra, S., Roe, D., Monica, V., & Bedrick, E. (2018). Regularized Continuous-Time Markov Model via Elastic Net. Biometrics.
BIO5 Collaborators
Dean Billheimer, Stefano Guerra, Chengcheng Hu