Research Computing/Information, Technology & Consulting and StataCorp co-sponsor the following webinar:

Date: March 23

Time: 13:00 - 15:00 EST

Location: Online

Registration link: https://libcal.dartmouth.edu/calendar/itc/statadayatdartmouth2023

Webinar Topics:

1. Survival Analysis 1 (60 minutes)

In this talk I introduce the concepts and jargon of survival analysis including time-to-event data, different kinds of censoring, as well as graphical, nonparametric, semi-parametric, and parametric methods for modeling survival data.  I then demonstrate how to use Stata's -stset- command tell Stata about the features of a survival dataset, how to use Stata's -st- commands to fit models for survival data, and how to use -margins-, -marginsplot-, and -stcurve- to visualize the results of these models.

2. Survival Analysis 2: Advanced (60 minutes)

This talk is a continuation of Survival Analysis 1.  It includes advanced topics such as Cox regression with  categorical and continuous time-varying covariates, shared-frailty models, multilevel parametric survival analysis, survival analysis in the context of structural equation models (SEM), and competing risks regression.

Presenter:

Chuck Huber is the Director of Statistical Outreach at StataCorp and an Adjunct Associate Professor of Biostatistics at the Texas A&M School of Public Health. In addition to working with Stata's team of software developers, he produces instructional videos for the Stata YouTube channel, writes blog entries, develops online NetCourses, and gives talks about Stata at conferences and universities. Most of his current work is focused on statistical methods used by psychologists and other behavioral scientists. He has published in the areas of neurology, human and animal genetics, alcohol and drug abuse prevention, nutrition, and birth defects.

All registered participants will receive a zoom link prior to the webinar.

If you have any questions about this event, please email Jianjun at jianjun.hua@dartmouth.edu.