This workshop introduces methods of analyzing interactions (moderated effects) in regression models: calculating, comparing and graphing simple effects and slopes. Specifically, we emphasize the use of proc plm and the lsmeans and estimates statements in SAS in conjunction with a solid understanding of the regression equation. Examples include two- and three-way interactions in linear regression...
Mplus is a powerful statistical package used for the analysis of both observed and latent variables. Among the kinds of analysis it can perform are exploratory factor analysis, confirmatory factor analysis, latent class analysis, latent growth curve modeling, structural equation modeling and multilevel modeling. This workshop is designed for people who are just getting started...
Speaker: Dr. Zhenman Fang, Ph.D., IDRE Scholar, Computer Science Department, University of California, Los Angeles Time: 11:45 A.M. - 1 P.M. (Lunch will be serverd*) Date: Apr 12, 2017 Location: 5628, Math Sciences Building RSVP: https://idre.ucla.edu/calendar-event/accel-next-gen-dna-seqn#rsvp Abstract: Modern medical research is being transformed with the advance of next-generation sequencing technologies that dramatically reduce...