The UCLA Department of Statistics and the Center for Social Statistics presents: Modelling Mobility Tables as Weighted Networks Contemporary research on occupational mobility, i.e. how people move between jobs, tends […]

The California Center for Population Research and the Center for Social Statistics presents: When Should Researchers Use Inferential Statistics When Analyzing Data on Full Populations? Many researchers uncritically use inferential […]

The UCLA Department of Community Health Sciences and the Center for Social Statistics presents: Dynamic Modeling for Health in the Age of Big Data Traditional approaches to public health concerns have […]

The UCLA Department of Statistics and the Center for Social Statistics presents: Programming data science with R & the tidyverse Tidy evaluation is a new framework for non-standard evaluation that […]

The UCLA Department of Statistics and the Center for Social Statistics presents: Statistical Significance and Discussion of the Challenges of Avoiding the Abuse of Statistical Methodology Sander Greenland will offer […]

The UCLA Department of Statistics and the Center for Social Statistics presents: Redefine Statistical Significance Daniel Benjamin will discuss his paper (written by him and 71 other authors), “Redefine Statistical […]

The UCLA Department of Statistics and the Center for Social Statistics presents: Redefine Statistical Significance Daniel Benjamin will discuss his paper (written by him and 71 other authors), “Redefine Statistical […]

The UCLA Departments of Epidemiology, Biostatistics, Statistics and the Center for Social Statistics presents: Causal Methods in Epidemiology: Where has it got us and what can we expect in the […]

The Center for Social Statistics Presents: Predicting the Evolution of Intrastate Conflict: Evidence from Nigeria The endogenous nature of civil conflict has limited scholars' abilities to draw clear inferences about […]