Biostatistics Faculty Research

Data on national health and epidemiology are often collected using complex probability sample designs involving stratification and clustering of units.

Enabled by computational advances such as Markov chain Monte Carlo methods since late 1980s, Bayesian modeling and analysis are increasingly adopted in biomedical, public health and general data science research.

Today, nearly every statistical analysis is performed on a computer. Some methods are particularly dependent on intensive computing or custom software. Biostatistics faculty are involved with this specialty, known as computational statistics.

Correlated data are common in many health sciences studies, where clustered, hierarchical, non-independent, and spatial data are frequently observed.

In contrast to parametric modeling, where the distribution of the data is assumed known up to a finite-dimensional parameter, nonparametric methods involve an infinite dimensional parameter.

Empirical studies in the social, behavioral, economic, and medical sciences frequently suffer from missing data.

In many medical and scientific studies, investigators are interested in analyzing data on time to an event. Applications of this work arise in areas as diverse as medicine, epidemiology, demography, and engineering.

Biomedical research is undergoing a major revolution as novel experimental approaches are yielding unprecedented amounts of data.

Recent advances in medical imaging technology allow the measurement of brain activity of the intact, living human brain.

Many Biostatistics faculty and students are actively involved in a broad spectrum of cancer research projects and in developing statistical methodology motivated by cancer research.

Clinical trial research involves the study of novel therapies in patients with the goal of identifying the best possible treatment.

Endocrinology is loosely defined as the study of hormone secretion and the action of hormones on their target cells.

Faculty and students are actively involved in a broad spectrum of methodological and collaborative research in Epidemiology, Health Behavior and Health Education, Environmental Health, and Health Policy and Management.

Driven by advances in array based and sequencing based technology, the Human Genome Project, International HapMap Project, the 1,000 Genomes Project, and various forms of genome-wide association studies, genetics is taking an ever-more-central role in all the biomedical sciences.

Genomics uses a combination of recombinant DNA, DNA sequencing methods, and bioinformatics to sequence, assemble, and analyse the structure and function of genomes.

There are more than 300,000 people alive today in the U.S. because they are receiving ongoing replacement treatment for their failed kidneys, hearts, livers, or other organs.