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Bryan Lau, PhD

  • Associate Professor

Departmental Affiliations

  • Epidemiology (Primary)
    • Division: General Epidemiology and Methodology

Center & Institute Affiliations

Contact Information

615 N. Wolfe Street
Room E7150
Baltimore, Maryland 21205

410-614-2397

View Current Courses

Education

PhD, Johns Hopkins Bloomberg School of Public Health, 2004
ScM, Johns Hopkins Bloomberg School of Public Health, 1999
MHS, Johns Hopkins Bloomberg School of Public Health, 1999
BS, University of California, San Diego, 1997

Overview

My research interests include epidemiological and statistical methods for cohort (both clinical and interval) studies and application of these methods primarily to HIV cohort studies. I have specific interest in developing new methods as well as adapting approaches from other fields as novel solutions to specific epidemiologic questions. Examples include competing risk methodologies and extension to comparing multiple event types, random forests, bootstrap model averaging and multimodel inference

Dr. Lau is involved with multiple ongoing studies including the North American AIDS Cohort Collaboration of Research and Design (NA-ACCORD), an International Epidemiologic Databases to Evaluate AIDS [IeDEA] initiative sponsored by NIAID), the Johns Hopkins HIV Clinical Cohort Study, the ALIVE Study, the CFAR Network of Integrated Clinical Systems (CNICS), is a co-director for Biostatistics and Epidemiology Methods Core of the Johns Hopkins CFAR, and in addition collaborates with many other investigators across the University.

Honors and Awards

2016 Editor’s Choice for: Buchacz K, Lau B, Jing Y, et al. Incidence of AIDS-Defining Opportunistic Infections in a Multicohort Analysis of HIV-infected Persons in the United States and Canada, 2000-2015. Journal of Infectious Diseases 2016; 214:862-872. doi: 10.1093/infdis/jiw085

2015 Editor’s Choice for: Cole SR, Lau B, Eron JJ, et al. Estimation of the standardized Risk Difference and Ratio in a Competing Risks Framework: Application to Injection Drug Use and Progression to AIDS After Initiation of Antiretroviral Therapy. American Journal of Epidemiology 2015; 181:238-245.

2013 Inducted into Delta Omega Honorary Society in Public Health, Alpha Chapter, Johns Hopkins Bloomberg School of Public Health

2012 Editor’s Choice for: Silverberg MJ, Lau B, Justice AC, et al. Risk of anal cancer in HIV-infected and HIV-uninfected individuals in North America. Clin Infect Dis 2012;54:1026-1034

  • Epidemiology
  • HIV/AIDS
  • Hazardous Alcohol Use
  • Epidemiologic Methods
  • Biostatistics
  • Observational Studies
  • Causal Inference
  • Machine Learning

Selected publications from the last few years

  • Bilal U, Crane HM, Mathews WC, Mayer KH, Geng E, Napravnik S, Cropsey KL, Mugavero MJ, Saag MS, Hutton H, McCaul ME, Lau B*, Chander G*. Predictors of Longitudinal Trajectories of Alcohol Consumption in People Living With HIV: a Cohort Study. Alcoholism: Clinical and Experimental Research (In Press). *contributed equally
  • ilverberg MJ*, Lau B*, Achenback CJ, Jing Y, Althoff KN, D’Souza G, Engels EA, Hessol N, Brooks JT, Burchell AN, Gill MJ, Goedert JJ, Hogg R, Horberg MA, Kirk GD, Kitahata MM, Korthuis P, Mathews WC, Mayor A, Modur SP, Napravnik S, Novak RM, Patel P, Rachlis AR, Sterling TR, Willig JH, Justice AC, Moore RD, Dubrow R for the North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD) of IeDEA. Cumulative Incidence of Cancer among HIV-infected Individuals in North America. Annals of Internal Medicine 2015; 163:507-518. doi: 10.7326/M14-2768. PMCID: PMC4711936. *contributed equally
  • Lesko CR, Edwards JK, Moore RD, Lau B. A longitudinal, HIV care continuum: 10-year restricted mean time in each care continuum stage after enrollment in care, by history of IDU. AIDS 2016; 30:2227-2234. doi: 10.1097/QAD.0000000000001183. PMCID: PMC5063502
  • Lesko CR and Lau B. Bias due to confounders for the exposure-competing risk relationship. Epidemiology 2017; 28:20-27. PMCID: PMC5489237
  • Canan C, Lesko CR, Lau B. Instrumental Variables Analyses and Selection Bias. Epidemiology 2017; 28:396-398. PMCID: PMC5378646.