Events for October 7, 2016 - May 22, 2019
Events for October 7, 2016 - May 22, 2019 › CCPR Workshop
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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.Find out more »
[Workshop] Accessing & Safeguarding Administrative Data at the CCPR: The Census RDC & German Data Center
Instructor: Professor Till von Wachter Please join us at this workshop to learn more about the Census Research Data Center and German Data Center. Learn more about how to access and safeguard data stored at these secured data centers. Powerpoint PresentationFind out more »
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 data through web scraping. Most importantly, we’ll jump straight into ‘CSS Selectors’ as it's the key ingredient in telling computers how to surf the web like a human. Along with lunch, feel free to bring an example website that we can explore with. Hopefully, with the new knowledge and a…Find out more »
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 of large and highly complex datasets is extremely resource intensive, and inadequate computing resources can cause data analysis to slow to a crawl if it’s even able to be performed at all. Remotely accessing a high performance computing platform provides access to analysis resources that likely far exceed those of…Find out more »
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 to analyze survey data while accounting for its complex survey design. Using both the R and Stata software packages, we will demonstrate how to specify the survey design, impute any missing data, and analyze the survey outcomes of interest. We will discuss how our downstream "analysis" steps are related to…Find out more »
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 panel of investigators using big data for their research will describe issues that they have faced and other potential problems. As background to this workshop, you may want to read: http://bdes.datasociety.net/council-output/perspectives-on-big-data-ethics-and-society/ Kramer ADI, Guillory JE and Hancock JT (2014) Experimental evidence of massive-scale emotional contagion through social networks. Proceedings of the…Find out more »
“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 in-depth interviews in order to learn more about the lives of disadvantaged children. Fragile Families Challenge builds on the Fragile Families and Child Wellbeing Study that has been running for about 20 years. The Fragile Families research team has been following about 5,000 families----collecting information about them and their environment…Find out more »
Grant Writing Workshop Series:
The workshop will include an overview of the basics, including NIH funding mechanisms, types of grant programs (we will focus on the R series with some discussion of K series), finding a funding opportunity (FOA): Parent Announcements, Program Announcements (PAs) vs. Request for Applications (RFAs) Administrative and other supplements Roles on a grant (PI, Co-PI, Co-Investigator, others), the process of preparing NIH proposals, identifying NIH institute (NIH matchmaker), working with NIH staff, due dates and the application to funding timeline, applications & resubmissions.
"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
2) Worked out examples from a UCLA IDRE workshop on R concepts
3) R 4 Data Science e-book
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 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…Find out more »
The workshop will include an overview of scored review criteria: Significance, investigators, innovation, approach, and environment, abstract, specific aims, biosketch/ personal statement, and environment.Find out more »
The workshop will include an overview of personnel time on the project, salaries and benefits, other than personnel services (OTPS), consultants, equipment, patient care, alterations and renovations, consortium/contractual costs, budget justification, direct/modified direct/indirect costs.Find out more »
The workshop will include an overview of human subjects/UCLA IRB preaward, data sharing plan, multiple PI plan and clinical trials, Office of Contract and Grant Administration (OCGA), S2S Grants/Cayuse, E-pass and electronic submission, eDGE disclosure, submission deadlines to OCGA, and interacting with eRA Commons.Find out more »
"Workshop: Bayesian Concepts for Data Analysis"
Instructor: Michael Tzen
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/CF4wuaobfqpug9Js1Find out more »
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 friendly front end to STAN. This workshop is the followup to Part 1: Bayesian Concepts for Data Analysis. The abstract and slides for part 1 are below. https://ucla.box.com/s/wof3yur9xs6ofqhirmr2k2op0fv9kj7s https://ccpr.ucla.edu/event/workshop-bayesian-concepts-for-data-analysis/Find out more »
"Sampling Hidden Populations: Respondent Drive Sampling"
Abstract: Dr. Raymond will discuss the background and implementation of Respondent Driven Sampling (RDS) studies which is wide use among hidden populations the world over. He will review the theoretical basis of RDS including what biases RDS analysis corrects for. Dr. Raymond will share some examples of RDS analysis using RDS Analyst.Find out more »
Instructor: Michael Tzen Title: Getting your Computational Tools for Research Location: October 25, 2018, 2:00-3:00 PM 4240 Public Affairs Building CCPR Seminar Room Content: We'll get you started on Github, Rstudio, Stata, and accessing Hoffman2 (UCLA's high performance computing cluster). Please RSVP below https://goo.gl/forms/W6hkM3bnOjfnYGJw2Find out more »
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 involving a complex survey design. Please RSVP below https://goo.gl/forms/evIP7G8PN0UBG7x72Find out more »
Information session on data available at the Census Research Data Center (RDC) at UCLA and how to access it: Data availability of five types of confidential government data available in the RDC Business Data (Economic Census, Annual Survey of Manufactures, Longitudinal Foreign Trade Transactions Database, Commodity Flow Survey, Business Research and Development and Innovation Survey) Individual Data (CPS and SIPP merged to longitudinal earnings records, Decennial Census and American Community Survey with neighborhood IDs) Administrative Data (Longitudinal Business Database, Longitudinal…Find out more »
Instructor: Michael Tzen Title: Merging Entities: Deterministic, Approximate, & Probabilistic Location: January 31, 2019, 2:00-3:00 PM 4240 Public Affairs Building CCPR Seminar Room Content: Combining information from different groups is a fundamental procedure in the data analysis pipeline. Using NBA and NCAA data, we will walk through deterministic, approximate, and probabilistic methods to merge entities from the different data sources. Is Luc Richard Mbah a Moute playing in the NBA the same Luc Mbah a Moute who played for the University of…Find out more »
Workshop: Tips for Success in Publishing in Peer Review Journals: An Editor's Perspective Presentation by Prof. Gilbert Gee Prof. Gee Dr. Gee is currently the Editor of the Journal of Health and Social Behavior. He has also been a guest editor for Child Development, Asian American and Pacific Islander Nexus Journal, and the Asian American Journal of Psychology.Find out more »
Title: Grad Student Panel Discussing the Causal Toolkit Location: February 27, 2019, 2:00-3:30 PM 4240 Public Affairs Building CCPR Seminar Room Content: Focusing on the uses of the causal toolkit, several grad students will share a-ha moments and lessons learned from their own applied research. The target audience are grad students and researchers who wish to get a taste of how causal concepts are used. We will start with an open discussion (with audience Q+A) of introductory concepts in causation,…Find out more »
Workshop: UCLA IRB Application Process Presentation by Moore Rhys Assistant Director, Education and Quality, Office of the Human Research Protection Program, UCLA This workshop will provide an overview of the UCLA IRB application process and related policies and procedures. Learning goals for this workshop include: 1) Understanding when IRB review is required and when it is not 2) Identifying what training is required for conducting human subject research and how to complete it 3) Understanding how to get started in…Find out more »
Title: Getting All Your Research Computing Tools for Summer and Beyond - Hardware and Software Location: May 22, 2019 @ 12:00-1:30 PM 4240 Public Affairs Building CCPR Seminar Room Instructors: Matt Lahmann & Mike Tzen Content: We’ll get CCPR researchers all the computing tools for a productive summer of data science exploration. We'll get you started on computing hardware: personal, terminal, and cluster. We'll get you started on software: R, stata, python, etc. To get the most out of this…Find out more »