Instructor: Michael Tzen Content: This 1 hour workshop will provide a sampling of introductory concepts for bayesian analysis. We will use Bayes Rule (and its implications) to think about data […]
The UCLA Department of Statistics and the Center for Social Statistics presents: Rules of Engagement in Evidence-Informed Policy: Practices and Norms of Statistical Science in Government Collaboration between statistical scientists […]
The California Center for Population Research and the Center for Social Statistics Presents: Heterogeneous Causal Effects: A Propensity Score Approach Heterogeneity is ubiquitous in social science. Individuals differ not only […]
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 […]
