Research

HOngy Zhao

Hongyu Zhao, the Ira V. Hiscock Professor of Biostatistics

The Biostatistics Department's misison is to develop new statistical methodology to address important questions in the biological and health sciences. We bring these innovations into practice through active collaboration with applied researchers at Yale and beyond.

Research Areas

Clinical trial design and analysis PeduzziMakuch, Zelterman, Lin, Gueorguieva, Kane, Spiegelman
Pre­clinical drug screening Makuch
Regulatory affairs Makuch
Mental health ZhangGueorguievaLin
Statistical genomics ZhaoWang, Townsend
Applied probability CrawfordTownsendKane
Genetic epidemiology ClausZhaoTownsend
HIV MakuchCrawfordLinSpiegelman
Cancer ClausZeltermanPeduzziHolfordMakuchLinTownsendSpiegelman
Bioinformatics and computational biology Zhao, MaWangCrawfordTownsend
Medical imaging Zhang
Stochastic processes ZhaoHolfordCrawfordTownsendKane
Missing data WangMakuchCrawfordGueorguievaLinSpiegelman
Statistical computing CrawfordKane
Rare adverse events Makuch
Spatial statistics  Holford, Warren
Environmental health  HolfordLinWarrenSpiegelman
High ­dimensional data analysis MaZhaoKane
Survey sampling MakuchCrawford
Aging LinPeduzzi
Causal inference  LinSpiegelman
Joint longitudinal and survival modeling GueorguievaLin
Longitudinal data LinWangGueorguievaSpiegelman
Categorical data WangZeltermanGueorguievaSpiegelman
Gene expression  ZhaoCrawfordWang
Cardiovascular disease  MakuchLin
Bayesian statistics  HolfordZhaoCrawfordTownsendWarrenKane
Biomarkers  ZhaoLin
Network analysis ZhaoCrawford 
Statistical proteomics Zhao
Human genetics/genomics WangZhaoTownsend
Correlated data WangCrawfordLinGueorguievaWarrenSpiegelman
Mixture models WangLinGueorguievaWarren
Competing risks GueorguievaLin
Comparative effectiveness research PeduzziMakuchLinGueorguievaSpiegelman
Count data  ZeltermanCrawford
Kidney diseases  Lin
Statistical epidemiology HolfordLinWarrenSpiegelman
Meta-­analysis MakuchLinGueorguievaSpiegelman
Measurement error Spiegelman
Implementation and prevention science Spiegelman