CSS Seminar

The Center for Social Statistics Presents: Innovative Sampling Approaches for Hard to Reach Populations: Design of a National Probability Study of Lesbians, Gay Men, Bisexuals, and Transgender Peoples and  Network Sampling of Hard to Reach Populations Speakers: Ilan H. Meyer, Williams Distinguished Senior Scholar for Public Policy at the Williams Institute Mark S. Handcock, Professor […]

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 the drivers of conflict evolution. We argue that three primary features characterize the complexity of intrastate conflict: (1) the interdependent relationships of conflict between actors; […]

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 future? The principal focus of Dr. Robins’ research has been the development of analytic methods appropriate for drawing causal inferences from complex observational and randomized […]

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 Significance”. The paper proposes that the default p-value threshold should be changed from 0.05 to 0.005. The paper is available at this link. Speaker: Daniel […]

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 Significance”. The paper proposes that the default p-value threshold should be changed from 0.05 to 0.005. The paper is available at this link. Speaker: Daniel […]

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 his perspective on the paper, “Redefine Statistical Significance”, which was the topic of the previous week’s seminar. Also he will discuss the challenges of avoiding […]

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 will be used throughout tidyverse. In this talk, I'll introduce you to the problem that tidy eval solves, illustrated with examples of the various approaches […]

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 conferred great advances in the duration and quality of life. Public health interventions – from improved sanitation efforts, to vaccination campaigns, to contact tracing and […]

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 statistical procedures (e.g., hypothesis tests) when analyzing complete population data—a situation in which inference may seem unnecessary. We begin by reviewing and analyzing the most […]

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 to view mobility as being mostly determined by individual and occupational characteristics. These studies focus on people’s sex, ethnicity, age, education or class origin and […]