Biostatistics Seminar: Efficient Epidemiological Study Designs for Quantitative, Multivariate Longitudinal Data

The Department of Biostatistics welcomes the remote visit of Dr. Jonathan Schildcrout, vice chair for research, biostatistics at Vanderbilt University Medical Center. Dr. Schildcrout's main research interests are in longitudinal data studies, such as correlated and longitudinal data analyses, epidemiological study design with longitudinal data, and statistical analyses of medical informatics data. Please visit his... Read more »

Biostatistics Seminar: Reframing Proportional-Hazards Modeling for Large Time-to-Event Datasets with Applications to Deep Learning

We are welcoming Dr. Simon, who will talk about "Reframing proportional-hazards modeling for large time-to-event datasets with applications to deep learning." Dr. Simon works on machine learning (including penalized regression and classification), efficient algorithms in high dimensional spaces, shrinkage estimation and clinical trial design. The techniques he develops are directed at problems in biology and... Read more »

Online Stata Three-Part Short Course: Part 1

This is an online 3-part short course (held over three afternoons – October 6, 7 and 8, 2020). Stata Part 1 will offer an introduction to Stata basics. Part 2 will teach entering data in Stata, working with Stata do files, and will show how to append, sort and merge data sets. Part 3 will... Read more »

Online Stata Three-Part Short Course: Part 2

This is an online 3-part short course (held over three afternoons – October 6, 7 and 8, 2020). Stata Part 1 will offer an introduction to Stata basics. Part 2 will teach entering data in Stata, working with Stata do files, and will show how to append, sort and merge data sets. Part 3 will... Read more »

Event Series Text Analysis Using R

Text Analysis Using R

Text Analysis Using R This two-day workshop hosted by the Odum Institute for Research in Social Science will introduce participants to the basics of text analysis in R. Text analysis is a promising new approach that uses machine learning to discover patterns, trends, and other information by using text as data. Participants will develop the... Read more »