Lin Liu, PhD

Associate Project Scientist

9500 Gilman Dr, MC 0717
La Jolla, CA 92093-0717
858-552-8585 ext 2841
linliu@ucsd.edu

Dr. Liu's primary methodological research interests are in the area of linear/nonlinear mixed-effects models and order restricted inference. She is interested in developing methodologies and statistical software for analyzing longitudinal HIV viral load data with censored values. She is also working on efficient methodologies in hypothesis testing and interval estimation under order restrictions with application in dose-response studies and toxicity studies. Her applied work includes the design, monitoring, and analysis of clinical trials and observational studies in the fields of infectious disease, cardiovascular disease, anxiety disorder, chronic pain, PTSD, sleep apnea and telemedicine.

Dr. Liu is the lead statistician at the San Diego VA Health Services Research and Development Division (HSR&D, Director: Dr. Zia Agha). She is also the lead statistician for an epidemiological study to assess the impact of Mexico's drug laws on behaviors and infectious disease status among injection drug users in San Diego (PI: Dr. Richard Garfein). Dr. Liu is an experienced statistician in HIV collaborative research, she was the statistician for Acute HIV Infection and Early Disease Research Program (AIEDRP), UCSD centers for AIDS research (CFAR) and the CFAR Network of Integrated Clinic Systems (CNICS). Currently, she is the primary statistician for the program project Determinants of HIV Transmission (PI: Dr. Susan Little).

Principal Research Interests

• Linear/nonlinear mixed-effects models
• Order restricted inference, dose-response studies, multiple comparisons
• Statistical computing
• HIV research (clinical trial and epidemiological study)
• Health services research (telemedicine)
• Epidemiology of injection drug use and infectious disease

Teaching Activities

• Epidemiology, Biostatistics, & Medical Informatics (EBMI), School of Medicine

Selected Publications

• Lee J, Aziz H, Liu L, Lipkowitz M, O’Connor DT, Richard E, Brophy V, Wassel CL, Blantz R, AASK study investigators and Bhatnagar V, Beta1-adrenergic Receptor Polymorphisms and Response to Beta Blockade in the African American Study of Kidney Disease and Hypertension (AASK), American Journal of Hypertension. 2011, 24(6), 694-700.
• Lindamer LA, Liu L, Sommerfeld D, Folsom DP, Hawthorne W, Garcia P, Aarons GA. and Jeste DV, Predisposing, Enabling, and Need Factors Associated with High Service Use in A Public Mental Health System, Journal of Administration and Policy in Mental Health, 2011.
• Vaida F. and Liu L, Fast Implementation for Normal Mixed Effects Models with Censored Response, Journal of Computational and Graphical Statistics, 2009, 18(4), 797-817.
• Liu L, May S, Richman DD, Pond SK, Hecht FM, Markowitz M, Daar ES, Routy J-P, Margolick JB, Frost SDW, Little SJ and Smith DM, Comparison of Algorithms that Interpret Genotypic HIV-1 Drug Resistance to Determine the Prevalence of Transmitted Drug Resistance, AIDS, 2008, 22(7), 835-839.
• Lee CC, Peng J and Liu L, Statistical Inference for the Difference between the Best Treatment Mean and a Control Mean, Journal of the American Statistical Association, 2006, 101, 1050-1058.
• Liu L, Lee CC and Peng J, Max-min Multiple Comparison Procedure for Monotone Dose-Response Curves, Journal of Statistical Planning and Inference, 2002, 107, 133-141.