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Longitudinal Data Analysis

Michael Tzen May 21, 2015 2:00pm-5:00pm 2400 Public Affairs Building An increasing number of longitudinal datasets are being made available. The longitudinal nature of the dataset may be represented as […]

Bayesian Statistical Modeling Using Stan

4240 Public Affairs Bldg

Daniel Lee June 23, 2015 10:00 AM-12:00 PM 4240 Public Affairs Building Stan is an open-source, Bayesian inference tool with interfaces in R, Python, Matlab, Julia, Stata, and the command […]

Reproducibility of Statistical Results

CCPR Seminar Room 4240 Public Affairs Building, Los Angeles, CA, United States

Presented By: Mark S. Handcock (Professor, Statistics) Jeffrey B. Lewis (Professor, Political Science) Marc A. Suchard (Professor, Biomathematics, Biostatistics and Human Genetics)   Reproducibility is one of the main principles […]

Practical GIS for Demography

CCPR Seminar Room 4240 Public Affairs Building, Los Angeles, CA, United States

Content: Geographically referenced data sets are becoming increasingly common.

In spatial analysis of demographic data, three common spatial indices are used: points, lines, and polygons. Through interspersed hands on exercises, we will: obtain, shape, and visualize demographic data over space. We will briefly discuss the motivation for incorporating geographic association into downstream models.

Below is an example of what we will produce with

1) Obtain GPS locations of In-N-Out's obtained from the Google Radar API

2) Compute their generated Voronoi Tesselation to address spatial competition

3) Aggregate Census 2010 tract-level population counts into these competing geographies

No background knowledge of will be required. The exercises are introductory. We will also highlight alternative software tools to achieve similar goals, such as GrassGIS and Stata

VIEW PODCAST HERE!

Ilan H. Meyer & Mark S. Handcock, UCLA

CCPR Seminar Room 4240 Public Affairs Building, Los Angeles, CA, United States

"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 of Statistics at UCLA and Director of the Center for Social Statistics


Description:


Come for the exciting seminar then stay for the free lunch and discussion. A seminar led by Ilan H. Meyer followed immediately by a Brown Bag Lunch led by Mark S. Handcock.

Dr. Meyer is Principal Investigator of the Generations and TransPop Surveys. Generations is a survey of a nationally representative sample of 3 generations of lesbians, gay men, and bisexuals. TransPop is the first national probability sample survey of transgender individuals in the United States. Both studies attempt to obtain large nationally representative samples of hard to reach populations. Dr. Meyer will review sampling issues with LGBT populations and speak on the importance of measuring population health of LGBTs and the underlying aspects in designing a national probability survey.

From a contrasting perspective, the field of Survey Methodology is facing many challenges. The general trend of declining response rates is making it harder for survey researchers to reach their intended population of interest using classical survey sampling methods.

In the followup Brown Bag Lunch, led by Mark S. Handcock, participants will discuss statistical challenges and approaches to sampling hard to reach populations. Transgenders, for example, are a rare and stigmatized population. If the transgender community exhibits networked social behavior, then network sampling methods may be useful approaches that compliment classical survey methods.
Participants are encouraged to speak on ideas of statistical methods for surveys.

So you want to be a researcher? Principles and practical data tools to help you fly transparently

CCPR Seminar Room 4240 Public Affairs Building, Los Angeles, CA, United States

Content: Researchers go through fundamental steps in a data analysis project. This workshop highlights key steps in a data analyst's workflow and encourages transparency in each of the steps. Throughout this workshop, we go through hands on exercises that integrate: a transparency engine, obtaining federal API data, producing useful intermediate data structures, and sharing analysis results. We will use Jupyter notebook for literate coding and if time allows demonstrate the Rstudio environment for reproducible development.

Brown Bag on Web Scraping Essentials: Bring Your Own Lunch + Website

CCPR Seminar Room 4240 Public Affairs Building, Los Angeles, CA, United States

Brown Bag on Web Scraping Essentials: Bring Your Own Lunch + Website Presenter: Mike Tzen Abstract: In this bring your own lunch brown bag, we’ll discuss the essentials of getting […]

High Performance Computing for Demographers

CCPR Seminar Room 4240 Public Affairs Building, Los Angeles, CA, United States

Presenters: Edward Moss  Assistant Director for Computing Services California Center for Population Research Mike Tzen  Assistant Director for Statistics and Methods Services California Center for Population Research    Data analysis […]

West Coast Experiments Conference, UCLA 2017

Covel Commons UCLA

The tenth annual West Coast Experiments Conference will be held at UCLA on Monday, April 24 and Tuesday, April 25, 2017, preceded by in-depth methods training workshops on Sunday, April 23. The conference […]

Analysis of Complex Surveys using R and Stata

CCPR Seminar Room 4240 Public Affairs Building, Los Angeles, CA, United States

Instructors: Michael Tzen, CCPR UCLA Andy Lin, IDRE UCLA Location: May 19, 2017 12:00 pm - 1:30 pm 4240 Public Affairs Building Abstract: In this workshop, attendees will learn how […]

Research Ethics: The Use of Big Data

CCPR Seminar Room 4240 Public Affairs Building, Los Angeles, CA, United States

The use of big data has become increasingly common in social and health research, raising a series of new and difficult questions about research ethics.  In this informal workshop, a […]

Fragile Families Challenge: Getting Started Workshop

CCPR Seminar Room 4240 Public Affairs Building, Los Angeles, CA, United States

“Fragile Families Challenge: Getting Started Workshop” Ian Lundberg Ph.D. Student, Sociology and Social Policy,  Princeton University The Fragile Families Challenge is a scientific mass collaboration that combines predictive modeling, causal inference, and […]

Workshop: Useful R 4 Stata Users Brown Bag

CCPR Seminar Room 4240 Public Affairs Building, Los Angeles, CA, United States

"R 4 Stata Users"

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 about fundamental R concepts or even questions about how to run Stata-equivalent R commands. Participants will be provided access to Rstudio, so please bring a laptop.

This CCPR brown-bag is intended to be an open forum that complements the 3 great resources below. Please see the resources, especially the first one.

1) 10 minute demo: interactive call–response slideshow of R basics
http://tryr.codeschool.com/

2) Worked out examples from a UCLA IDRE workshop on R concepts
https://stats.idre.ucla.edu/r/seminars/intro/

3) R 4 Data Science e-book
http://r4ds.had.co.nz/

Workshop: Transparent Data Analysis Workflow

CCPR Seminar Room 4240 Public Affairs Building, Los Angeles, CA, United States

Instructor: Michael Tzen PLEASE BRING A PERSONAL LAPTOP Content: Researchers go through fundamental steps in a data analysis project. This workshop highlights key steps in a data analyst's workflow and […]

Workshop: Bayesian Concepts for Data Analysis

4240 Public Affairs Bldg

"Workshop: Bayesian Concepts for Data Analysis"

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 us to clearly express the estimand, information from data, information from prior knowledge, and the estimator.

This workshop is the first of a two part series. The first workshop is conceptual while the second workshop will focus on software. The date for the second workshop is TBD.

Please RSVP Here:

https://goo.gl/forms/CF4wuaobfqpug9Js1

Workshop: Bayesian Software for Data Analysis

4240 Public Affairs Bldg

Instructor: Michael Tzen Content: We will implement the Gompertz Rule and the 2Chainz examples through software commands. Please bring a laptop. We will use the R package `brms` which provides a […]

Workshop: Practical Survey Analysis

Instructor: Michael Tzen Title: Practical Survey Analysis Location: November 15, 2018, 2:00-3:00 PM 4240 Public Affairs Building CCPR Seminar Room Content: We'll walk thru key steps of a data analysis […]

Lars Vilhuber, Cornell University

4240 Public Affairs Bldg

"Replication and Reproducibility in Social Sciences and Statistics: Context, Concerns, and Concrete Measures"