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April 2018

Workshop: Bayesian Concepts for Data Analysis

April 12, 2018 @ 12:00 pm - 1:00 pm
4240 Public Affairs Building, 4240 Public Affairs Building
Los Angeles, CA 90095 United States
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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 analysis. When used as a framework to model phenomenon, the analyst gets to work with 4 useful distributions: the prior, posterior, prior predictive, & posterior predictive. We will predict what clothing size 2Chainz wears. We'll also look at the Gompertz Rule from demography. In both examples, the bayesian framework allows…

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March 2018

Jake Bowers, University of Illinois at Urbana-Champaign

March 13, 2018 @ 2:00 pm - 3:15 pm
Franz Hall 2258A, Franz Hall 2258A + Google Map

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 (data scientists, behavioral and social scientists, statisticians) and policy makers promises to improve government and the lives of the public. And the data and design challenges arising from governments offer academics new chances to improve our understanding of both extant methods and behavioral and social science theory. However, the practices…

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February 2018

Yu Xie, Princeton

February 21, 2018 @ 12:00 pm - 1:30 pm
4240 Public Affairs Building, 4240 Public Affairs Building
Los Angeles, CA 90095 United States
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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 in background characteristics, but also in how they respond to a particular treatment. In this presentation, Yu Xie argues that a useful approach to studying heterogeneous causal effects is through the use of the propensity score. He demonstrates the use of the propensity score approach in three scenarios: when ignorability…

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Per Block, ETH Zurich (Swiss Federal Institute of Technology in Zurich)

February 6, 2018 @ 2:00 pm - 3:30 pm
Franz Hall 2258A, Franz Hall 2258A

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 how they get access to jobs of different wages, working conditions, desirability, skill profiles and job security. Consequently, observations in occupational mobility tables are understood…

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January 2018

Rob Warren, University of Minnesota

January 24, 2018 @ 12:00 pm - 1:30 pm
4240 Public Affairs Building, 4240 Public Affairs Building
Los Angeles, CA 90095 United States
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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 common rationales for employing inferential procedures when analyzing full population data. Two common rationales—having to do with handling missing data and generalizing results to other…

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December 2017

Nathaniel Osgood, University of Saskatchewan

December 12, 2017 @ 2:00 pm - 3:30 pm
4240 Public Affairs Building, 4240 Public Affairs Building
Los Angeles, CA 90095 United States
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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 environmental regulations – have helped reduce common risks to health throughout many areas of the world. Unfortunately, while traditional methods from the health sciences have…

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November 2017

Hadley Wickham, RStudio

November 8, 2017 @ 3:30 pm - 4:30 pm
1200 Rolfe Hall, 1200 Rolfe Hall

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 used in R. I'll then explain the most important components so that you can start writing your own functions instead of copying and pasting tidyr…

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October 2017

Sander Greenland, UCLA Department of Epidemiology

October 24, 2017 @ 2:00 pm - 3:00 pm
1434A Physics and Astronomy, 1434A Physics and Astronomy
Los Angeles, CA 90098 United States
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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 abuse of statistical methodology. Speaker: Sander Greenland, Professor Emeritus, UCLA Department of Epidemiology

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Daniel Benjamin, USC Dornsife Center for Economic and Social Research

October 17, 2017 @ 2:00 pm - 3:00 pm
1434A Physics and Astronomy, 1434A Physics and Astronomy
Los Angeles, CA 90098 United States
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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 Benjamin, Associate Professor, USC Dornsife Center for Economic and Social Research  

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Workshop: Useful R 4 Stata Users Brown Bag

October 13, 2017 @ 12:00 pm - 1:00 pm

Instructor: Michael Tzen, CCPR UCLA   Abstract: This workshop is a brown bag forum. Participants are encouraged to bring in tangible questions they wish to explore using R. To serve as a background road map, the instructor will provide an abbreviated sample of what he thinks are the most useful features of R. However, the goal is to have participants ask questions that the collective group can figure out using R. Any R question is fair game, for example: questions…

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