Dr. Long H. Ngo
- Air Pollution and Health
- Longitudinal Analysis & Semiparametric Modeling
- Model Selection
- Competing Risks
View Dr. Ngo's biosketch.
Dr. Ngo is the division's co-director of biostatistics, and an experienced statistician working on many collaborative projects with investigators in diverse clinical and statistical areas. He is principal investigator (PI) of a NIH-supported project on competing risks which aims to implement the Fine-Gray competing risks method for the Cancer Intervention and Surveillance Modeling Network (CISNET) models. Dr. Ngo is also site PI of a PCORI study of case-only methodology, and a training grant to teach biostatistics to faculty members in Vietnam. Dr. Ngo is co-investigator on several ongoing NIH-supported studies which include the assessment of potential proteomic, metabolomic, and lipidomic biomarkers in elderly patients who undergo elective surgery (PI: Dr. Edward Marcantonio, Dr. Towia Libermann), the modeling of cardiac long term outcomes including mortality using structural and functional imaging parameters from cardiac magnetic resonance technology (PI: Dr. Reza Nezafat), and the estimation of the effect of intranasal insulin treatment on cognitive decline functions in diabetic patients (PI: Dr. Vera Novak). Dr. Ngo also participates in the research training program of fellows, residents, students at the medical school, and the school of public health. Dr. Ngo is the past chairperson of the 9-member national Committee on Statistics and Disability for the American Statistical Association, past member of the Editorial Review Board of the Journal of Clinical Endocrinology and Metabolism, is currently an associate editor for the International Journal of Statistics and Management System, and the Journal of Cardiovascular Magnetic Resonance.
Current Research Support
View Dr. Ngo's professional research networking profile at Harvard Catalyst.
Selected Peer-Reviewed Publications
View Dr. Ngo's complete publication history at PubMed Author Search.