It is Never too Early to Think About Statistical Leadership

Dr. Richard Zink spent 17 years in and around medical product development at a real-world data company (Target RWE) where he led data management and statistics in the analysis and reporting of data derived from electronic medical records; a software company (SAS Institute) where he developed and supported platforms to analyze and visualize safety and... Read more »

Statistical methods for single-cell and spatial RNA-seq

Dr. Christina Kendziorski's research concerns statistical methods and software for computational biology and genomics. Her group develops statistical methods and software for the analysis of data from high-throughput genomics experiments and have considerable expertise in the experimental design and analysis of bulk RNA-seq studies and in single-cell RNA-seq. The group also uses high-throughput data from... Read more »

Identifying effector genes of human GWAS variants by INFIMA

Dr. Sunduz Keles will give a biostatistics talk titled "Identifying effector genes of human GWAS variants by INFIMA". The Keles Research Group is interested in statistical and computational genomics and develops statistical and computational data science methods for problems in high-dimensional genomic and biomedical data. The group will exploit, leverage and integrate high-throughput functional, genomic,... Read more »

National Public Health Week: Building Bridges to Better Health

During the first full week of April each year, APHA brings together communities across the United States to observe National Public Health Week as a time to recognize the contributions of public health and highlight issues that are important to improving our nation. APHA creates new NPHW materials each year that can be used during... Read more »

Greenberg Lectures: Scalable Statistical Inference of Large-Scale Whole Genome Sequencing Studies

The 2021 Bernard G. Greenberg Distinguished Lecture Series Featuring Professor Xihong Lin, Harvard University Lecture 1: May 20, 10-11:00 a.m. Scalable Statistical Inference of Large-Scale Whole Genome Sequencing Studies Big data from genome, exposome and phenome are becoming available at a rapidly increasing rate. Examples include Whole Genome Sequencing data, smartphone data, wearable devices, and... Read more »

Greenberg Lectures: Large-Scale Hypothesis Testing for Causal Mediation Effects with Applications in Genome-wide Epigenetic Studies

The 2021 Bernard G. Greenberg Distinguished Lecture Series Featuring Professor Xihong Lin, Harvard University Lecture 2: May 20, 3-4 p.m. Large-Scale Hypothesis Testing for Causal Mediation Effects with Applications in Genome-wide Epigenetic Studies In genome-wide epigenetic studies, it is of great scientific interest to assess whether the effect of exposure on a clinical outcome is... Read more »

Greenberg Lectures: Regression Models for COVID-19 Epidemic Dynamics with Incomplete Data

The 2021 Bernard G. Greenberg Distinguished Lecture Series Featuring Professor Xihong Lin, Harvard University Lecture 3: May 21, 10-11 a.m. Regression Models for COVID-19 Epidemic Dynamics with Incomplete Data Modeling infectious disease dynamics has been critical throughout the COVID-19 pandemic. Of particular interest are the incidence, total prevalence, and effective reproductive number (Rt). Estimating these... Read more »

Gillings Virtual Reception in Conjunction with JSM 2021

Join the Department of Biostatistics for a Gillings Virtual Reception in conjunction with the Joint Statistical Meetings (JSM) 2021. To join this virtual event, you must register in advance. After registering, you will receive a confirmation email containing information about joining the reception with a personal URL for your use to join the event. Contact... Read more »