Faculty | UCLA Biostatistics

Time 2020-12-29 11:03:45

Web Name: Faculty | UCLA Biostatistics

WebSite: http://faculty.biostat.ucla.edu

ID:149821

Keywords:

Faculty,UCLA,Biostatistics,

Description:

Abdelmonem A. AfifiDean and Professor EmeritusPh.D. | BerkeleyMultivariate analysis, discriminant analysis, meta-analysis, multi-level models and risk factor analysis Sudipto BanerjeeChairPh.D. | U. of ConnecticutBayesian hierarchical modeling and analysis for geographically/spatially referenced data, statistical modeling for physical and environmental processes, and Bayesian computation Steve HorvathPh.D., Sc.D. | HarvardBioinformatics, computational biology, cancer research, genetics, epidemiology, machine learning, and systems biology Gang LiPh.D. | Florida StateSurvival analysis, longitudinal modeling, high-throughput/ high-dimensional data analysis, semiparametric statistics, and evaluation and development of biomarkers. James W. SayreDr.P.H. | UCLAComputational statistics and database management, clinical trials, statistical methodology in medical diagnostic systems Damla SenturkPh.D. | UC DavisFunctional data analysis, high-dimensional and longitudinal data, measurement error models, applications in psychiatry and dialysis research Marc SuchardM.D., Ph.D. | UCLAHigh-performance statistical computing; observational healthcare data science; partially-observed stochastic processes Robert E. WeissPh.D. | U. of MinnesotaBayesian methods; longitudinal and multivariate longitudinal data analysis; hierarchical models; model specification, selection and checking Donatello TelescaPh.D. | U. of WashingtonBayesian biostatistics, multivariate analysis, functional data analysis, model selection, Statistical methods in bio- and nano-informatics Hua ZhouPh.D. | StanfordStatistical computing, numerical optimization, statistical genetics, medical imaging, applied probability, stochastic modeling of HIV and cancer stem cell dynamics Hilary AralisPh.D. | UCLAInference for multi-state models with incompletely observed data, uncertainty in Markov and semi-Markov process estimation, latent variable modeling, measurement error in mental health assessment Fei YuPh.D. | UCLAStudy design and causal inference, data mining of large complex databases, correlated data, ophthalmology and epidemiology research

TAGS:Faculty UCLA Biostatistics 

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