Some Statistical Methods, Tools, and Concepts for Scientific Research

Abstract

In this presentation, Jingyun Yan will introduce some useful statistical methods/tools that he often uses in his research, such as the time-varying effect model for the analysis of intensive longitudinal data, survival analysis for the analysis of time-to-event data, R Markdown for producing the reproducible report, and easy generation of the interactive plot. Such statistical methods and tools could improve your research in food science and nutrition. He will also cover some statistical concepts that are commonly encountered in scientific research, such as multiple comparisons.  

Bio

Jingyun Yang, an assistant professor in the Department of Neurological Sciences at Rush University Medical Center, received his Ph.D. in statistics from Pennsylvania State University. Yang is interested in studying different complex diseases, focusing on medical research through genetic, epigenetic, and longitudinal data analysis. He has authored/co-authored about 90 SCI peer-reviewed papers in various journals such as Diabetes, Critical Care Medicine, Neurology, Nature, Nature Neuroscience, Nature Genetics, and Brain. He serves as the invited statistical consultant for Annals of Surgery, the top journal in surgery. Yang is also a statistical consultant for the Journal of Alzheimer’s Disease, an editorial board member of Current Alzheimer Research, and a guest editor for Frontiers in Neurology and Frontiers in Genetics. He is also a reviewer for more than 30 SCI journals, and has won Publons' Global Peer Review Awards in 2018 and 2019.

You can view this virtual lecture in one of two ways: 

• By phone at ‪318.620.0354; PIN: ‪711 835 263#