Florin Vaida, PhD

Associate Professor

220 Dickinson Str, MC8231
San Diego, CA 92103-8231
619 543-8045
fvaida@ucsd.edu

Dr. Vaida obtained his PhD in Statistics from the University of Chicago in 1998, and after seven years on the faculty in the Department of Biostatistics at Harvard School of Public Health, he joined UCSD in 2004.  His research interests are in mixed-effects models, proportional hazards mixed-effects models, and model selection, in particular as they apply to HIV/AIDS and NeuroAIDS studies.  Dr. Vaida has published over 70 papers in peer-reviewed journals.  Among other projects, he is currently collaborating with the HIV NeuroBehavioral Research Program at UCSD, where he serves as senior statistician on several large multi-center HIV neurobehavioral studies.

Dr. Vaida is the Director of the Biostatistics Module for the CREST and MAS programs at UCSD.

Principal Research Interests

• Semiparametric and generalized linear mixed-effects models
• Model selection
• Missing data
• HIV/NeuroAIDS

Collaborative Projects

• HIV Neurobehavioral Research Program
• HIV Neurobehavioral Research Center
• Translational Methamphetamine Research Center
• CNS HIV Anti-Retroviral Therapy Effects Research
• Clinical Trial of CNS-targeted HAART (CIT2)

Teaching Activities

• Clinical Research Enhancement through Supplemental Training (CREST)
• Master's Degree in Clinical Research
• Epidemiology, Biostatistics, & Medical Informatics (EBMI), School of Medicine

Selected University & Public Service

• Reviewer, NIH/NIMH, Special Emphasis Panel (Feb & Nov 2011)
• Section Editor (Research Methodology), Californian Journal of Health Promotion
• Review Editor, Frontiers in Statistical Genetics and Methodology

Selected Publications

• Donohue MC, Haut R, Xu R, Vaida F. Conditional Akaike information under generalized linear and proportional hazards mixed models. Biometrika. 2011;2:1-16.
• Vaida F, Blanchard S. Conditional Akaike information for mixed-effects models. Biometrika 2005; 92:351-370
• Vaida F, Liu L. Fast implementation for normal mixed effects models with censored response. Journal of Computational and Graphical Statistics 2009; 18:797-817.
• Vaida F, Meng X-L. Two slice-EM algorithms for fitting generalized linear mixed models with binary response. Statistical Modelling 2005; 5:229-242.
• Vaida F. Parameter convergence for EM and MM algorithms. Statistica Sinica 2005; 15:831-840.
• Vaida F, Xu R. Proportional hazards model with random effects. Statistics in Medicine 2000; 19:3309-3324

•