This course will focus on both qualitative and quantitative data collection techniques to measure health. First, participants will learn about collecting qualitative data on health through semi-structured interviews and researcher... Read more »
This course will introduce participants to some of the best practices of professional software development. Participants will learn to structure their Python code into reusable functions and store those functions... Read more »
This course is the second in a two-part scale development course series on scale development. Part one of the series focused on the general theories and methods used in the... Read more »
This is a full-day, intensive, interactive course focused on using the Dataverse Application Programming Interface (API) to interact with data archived in a Dataverse-based repository. The session will be broken... Read more »
Registration open for Odum Institute short course, "Big Data, Bigger Deal?" Dr. Trent D. Buskirk is the Novak Family Professor of Data Science and the Chair of the Applied Statistics and Operations... Read more »
The goal of this two-day series is to provide researchers with the knowledge, tools and resources to aid in the development of a scientific protocol for a clinical research study. The first day of the series will provide an introduction and focus on (1) who needs a clinical protocol; (2) UNC Scientific Review Committee processes;... Read more »
The goal of this two-day series is to provide researchers with the knowledge, tools, and resources to aid in the development of a scientific protocol for a clinical research study. On the second day of the series, we will take a "deeper dive" into clinical study design, statistics and their impact on clinicaltrials.gov reporting. Contact... Read more »
Celebrating 75 years of research, training and service November 11–12, 2024 Please join the UNC Gillings Department of Biostatistics to celebrate past achievements, learn about current research endeavors and discuss... Read more »
Investigators are often worried about normality and whether the assumptions of classical methods are met. Nonparametric tests (e.g., the Mann-Whitney U-test instead of the t-test) offer an attractive alternative. In this seminar Jeff Laux, PhD, will discuss the nature of ordinal data and rank-based analyses. Contact Jeff Laux with questions.
