Statistics and Methods Core Mission

The Statistics and Methods Core supports CCPR research and training by providing expertise in the choice, development, and implementation of statistical methodology. CCPR offers “drop-in” statistical consulting services to meet short-term needs of CCPR affiliates. The unit staff provide advice about what to do and how to do it as well as assistance with statistical software and development of specialized statistical methods. This includes:

  • providing advice on all aspects of statistical design and analysis for CCPR research projects;
  • developing new statistical methodology, models, and tools to support current and proposed research projects;
  • coordinating the matching of the statistical expertise in other units of the UCLA campus with CCPR research projects;
  • improving CCPR affiliates’ access to state-of-the art statistical methodology through workshops and seminar series and advising the Computing Core and Social Science Computing on acquisition and support of statistical software.

Consulting

Drop-in Office Hours: TR (2:00-3:00 pm)

4335C Public Affairs Building

(appointments are also welcomed) 

CCPR offers “drop-in” statistical consulting services to meet short-term needs of CCPR affiliates. This can include:

  • assistance with study planning and design,
  • assistance with the choice and application of statistical methods,
  • advice on interpretation and presentation of statistical results.

In addition to helping you with what to do, we will also help you with how to do it:

  • assistance with statistical software,
  • development of specialized statistical methods.

Statistical Computing

  • For a list of statistical packages available to CCPR affiliates please see CCPR Computing,
  • The gist linked here has commonly used hoffman2 commands.
  • UCLA’s Institute for Digital Research and Education (formerly Academic Technology Services) provides UCLA researchers with assistance in statistical computing issues through the Statistical Consulting Group. Currently, IDRE offers classes and seminars, as well as learning modules on SAS, SPSS, Stata, and R through their statistical computing page.

Temporary Data R.A.

The Statistics and Methods Core now offers CCPR faculty affiliates the use of a Temporary Data Research Assistant. This position was created to assist in the beginning stages of research projects.  The R.A. will be available to CCPR faculty investigators to assist in importing, managing, organizing, and cleaning data for analysis, and also for literature searches and review.

Workshops

The Statistics and Methods Core will also offer workshops in statistical methods and programming open to all CCPR affiliates.  Recordings and notes from these workshops are available below.

Demography

11/15/2018 – Practical Survey Analysis

slides rscript

10/25/2018 – Getting your Computational Tools for Research

slides

5/17/2018 – Bayesian Software for Data Analysis
4/12/2018 – Bayesian Concepts for Data Analysis
5/19/2017 – Analysis of Complex Surveys using R and Stata

4/8/2016 – Practical GIS for Demography

slides ipynb podcast

5/21/2015 – Longitudinal Data Analysis

slides

9/12/2014 – L.A. FANS Data User Workshop

slides do-file

1/31/2014 – Longitudinal Survey Analysis Using Stata

slides do-file podcast

1/27/2012 – Multilevel Modeling Using Stata

slides do-file podcast

Data Science

10/25/2018 – Getting your Computational Tools for Research

slides

5/17/2018 – Bayesian Software for Data Analysis

4/12/2018 – Bayesian Concepts for Data Analysis

10/20/2017 – Transparent Data Analysis Workflow

slides ipynb rmd

10/13/2017 – Useful R 4 Stata Users

slides

2/15/2017 – High Performance Computing for Demographers

slides

2/8/2017 – Web Scraping Essentials

slides

4/8/2016 – Practical GIS for Demography

slides ipynb podcast

Causal Inference

Data Analysis

5/17/2018 – Bayesian Software for Data Analysis
4/12/2018 – Bayesian Concepts for Data Analysis
5/19/2017 – Analysis of Complex Surveys using R and Stata

4/8/2016 – Practical GIS for Demography

slides ipynb podcast

5/21/2015 – Longitudinal Data Analysis

slides

9/12/2014 – L.A. FANS Data User Workshop

slides do-file

1/31/2014 – Longitudinal Survey Analysis Using Stata

slides do-file podcast

1/27/2012 – Multilevel Modeling Using Stata

slides do-file podcast

Bootcamp

10/25/2018 – Getting your Computational Tools for Research

slides

10/20/2017 – Transparent Data Analysis Workflow

slides ipynb rmd

10/13/2017 – Useful R 4 Stata Users

slides

10/7/2016 – Transparent Data Analysis Workflow

slides ipynb podcast rstata-rmd

10/16/2015 – Transparent Data Analysis Workflow

slides ipynb

10/2/2014 – Introduction to Stata

slides do-file

10/22/2013 – Research Workflow Using Stata

slides

10/11/2013 – Introduction to Stata

slides do-file

4/4/2013 – Advanced Stata Programming

slides do-file podcast

10/26/2012 – Introduction to Stata and Efficient Workflow

slides do-file podcast

General Programming

2/15/2017 – High Performance Computing for Demographers

slides

2/8/2017 – Web Scraping Essentials

slides

Center for Social Statistics

Beginning in Fall 2015, the Center for Social Statistics (CSS) is now housed within CCPR in order to advance methodological aspects of demographic research. Through research collaborations and development workshops, the CSS fosters collaborative research between statistical and social scientists, increasing the quantitative sophistication of graduate and undergraduate students in the social sciences. The CSS is directed by Mark S. Handcock (Department of Statistics), who is also the Director of CCPR’s Statistics and Methods core.

The integration of CSS in CCPR combines the synergies in the development of new methods and applications to demographic problems. Some of the activities of the CSS are:

  • The CSS Seminar Series with external speakers (Current CSS Seminars / Past CSS Seminars)
  • Informal brown bag lunches with faculty affiliates
  • Seed grant program with awards of $10-20K for collaborative research between a social science and a statistics faculty member