Long H. Ngo, PhD
• Air Pollution and Health
• Longitudinal Analysis & Semiparametric Modeling
• Model Selection
• Competing Risks
• Bayesian Methods
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Dr.Ngo has twenty years of experience working as a statistician on numerous collaborative projects with investigators in many diverse clinical and statistical areas. He is a principal investigator on an international project which assesses air pollution effects on respiratory health of children in Vietnam. Dr. Ngo is a co-investigator on 11 on-going NIH-funded grants. He is currently a collaborator on a delirium program project grant and is a lead statistician on two projects which assess the association of delirium to long-term cognitive functions, cytokines and proteomic markers, and brain imaging parameters. Dr. Ngo also works on the methodology and application of competing risks in the evaluation of the effectiveness of breast cancer screening. Dr. Ngo's research interests also include work on statistical methodology and application of semi-parametric models, longitudinal analysis, model selection, and bayesian statistics. For 4 years, he was a member of the Editorial Review Board for the Journal of Clinical Endocrinology and Metabolism. He is currently an Associate Editor for the International Journal of Statistics and Management System. He also chairs the 9-member National Committee on Statistics and Disability for the American Statistical Association.
Current Research Support
American Cancer Society 23865 (McCarthy), 2009-2013
Breast Cancer in Older Women: Examining Comorbidity and Competing Mortality Risks
The proposed research will assess the impact of advanced age and illness burden on breast cancer mortality using methods that account for competing mortality risks.
P01 AG031720-01A2 (Inouye), NIH, 2010-2015
Interdisciplinary Study of Delirium and Its Long-Term Outcomes
This program project seeks to elucidate novel risk markers (including biomarkers, neuroimaging and reserve markers) and to examine the contribution of delirium to long-term cognitive and functional decline. This program project will utilize the innovative interdisciplinary approaches that will facilitate the translation of findings from the laboratory to the patient.
Role: Subcontract Principal Investigator
R18 HS020200 (Wright), NIH, 2012-2015
Hospital Acquired Muniprocin Resistant MRSA in Post-Partum Women
This project will make use of the MRSA outbreak data at BIDMC and advanced modeling methods using MCMC and differential equations to assess the rates of infection and colonization and to identify risk factors of acquiring CA-MRSA. The study will provide better understanding of the epidemiology, and intervention effects of MRSA infection among post-partum women and newborns.
Selected Peer-Reviewed Publications
1. Ngo L, Wand MP. Smoothing with mixed model software. J of Stat Software 2004; 9(1):1-56.
2. Ngo L, Latham NK, Jette AM, Soukup J, Iezzoni LI. Use of physical and occupational therapy by Medicare beneficiaries within five conditions: 1994-2001. Am J Phys Med Rehabil 2009; Apr 88(4):308-21.
3. Mehta S, Ngo L, Do D, Cohen A, Thach T, Vu D, Nguyen T, Le G. Air pollution and admissions for acute lower respiratory infections in young children of Ho Chi Minh City. Air Qual Atmos Health [Epub ahead of print, Aug. 2011] DOI 10.1007/s11869-011-0158z.
4. Ngo L, Ryan LM, Mezzetti M, Bois FY, Smith TJ. Estimating metabolic rate for butadiene at steady state using a bayesian physiologically-based pharmacokinetic model. Journal of Environmental and Ecological Statistics 2011; Volume 18, Issue 1:131-146
5. Figuerora RL, Zeng-Treitler Q, Kandula S, Ngo L. Predicting sample size required
for classification performance. BMC Medical Informatics and Decision Making
2012; Epub Feb 15; 12:8 doi:10.1186/1472-6947-12-8.