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

PeduzziMakuchZeltermanLinGueorguieva, 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

ClausZeltermanPeduzziHolfordMakuchLin
TownsendSpiegelman

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