[Gradstudents] Volunteers Needed & Stata Workshop Series by Dr. Chuck Huber from StataCorp

Fri May 24 10:14:54 PDT 2024

Volunteers Needs for Middle School Promotion Ceremonies

Dean Spencer’s middle school initiative project is looking for volunteers to hand out SOE swag at two promotion ceremonies on Wednesday, May 28th at 5pm and 6pm. Mileage reimbursement is available for volunteers. You can read more about the initiative here<https://news.ucr.edu/articles/2024/05/22/middle-school-initiative-expects-boost-college-access-0?_gl=1*6w53rm*_ga*MTg3NDY4MjM2NC4xNjk3MjExMTg5*_ga_Z1RGSBHBF7*MTcxNjU3MDY2NS4xMzYuMC4xNzE2NTcwNjc0LjAuMC4w*_ga_S8BZQKWST2*MTcxNjU3MDY2NS4xMzYuMC4xNzE2NTcwNjc0LjAuMC4w>.

If you’re interested, please contact Associate Dean Dr. Rall (raquel.rall at ucr.edu<mailto:raquel.rall at ucr.edu>) and Marketing Director James Rowland (james.rowland at ucr.edu<mailto:james.rowland at ucr.edu>).

Mountain View Middle School (5pm)

Marissa Smith, Principal

951-571-4240 ext. 22001

13130 Morrison St., Moreno Valley, 92555

Badger Springs Middle School (6pm)

Ruby Mejico, Principal

951-571-4200 ext. 20001

24750 Delphinium Ave., Moreno Valley, 92553

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GradQuant Stata Workshop Series with Dr. Chuck Huber
Tuesday, 5/28; 10:00am - 2:00pm in on ZOOM

10:00am - Introduction to Mediation Analysis
11:00am - Panel Data and Mixed Effects Models: What's the Difference?
12:00pm -  Introduction to Difference-in-Differences
1:00pm - How to Create Basic Stata Commands

Speaker's Bio:

Dr. Chuck Huber, Director of Statistical Outreach, StataCorp

Chuck Huber is Director of Statistical Outreach at StataCorp<https://www.stata.com/> and Adjunct Associate Professor of Biostatistics at New York University. In addition to working with Stata’s team of software developers, he produces instructional videos for the Stata Youtube channel, writes blog entries, develops online NetCourses and gives talks about Stata at conferences and universities. Most of his current work is focused on statistical methods used by behavioral and health scientists. He has published in the areas of neurology, human and animal genetics, alcohol and drug abuse prevention, nutrition and birth defects.

Session Information:

1. Introduction to Mediation Analysis
Tuesday, May 28, 10:00AM - 10:50AM,  ZOOM
https://ucr.zoom.us/j/95200803028

Mediation analysis is a statistical technique that is used to parse the direct, indirect, and total effect an independent variable (X) on a dependent variable (Y) in the presence of a mediating variable (M).  For example, age (X) is associated with higher systolic blood pressure (Y).  Age is also associated with higher weight (M) and increased weight is associated with higher systolic blood pressure (SBP).  Age has a direct effect on SBP as well as an indirect effect on SBP through its effect on weight.  This talk will introduce the concepts of mediation analysis and demonstrate how to conduct mediation analysis using regression, structural equation modeling (SEM), and how to estimate bootstrap standard errors for mediation models with SEM.

2. Panel Data and Mixed Effects Models: What's the Difference?
Tuesday, May 28, 11:00AM - 11:50AM,  ZOOM
https://ucr.zoom.us/j/98531716090

Clustered and repeated measures data are common in all scientific disciplines.  Data analysts in various disciplines have developed methods for modeling these kinds of data but differences in terminology make it challenging to understand the similarities and differences among these methods.  For example, behavioral and biomedical researchers often use "multilevel", "hierarchical", or "mixed effects" methods to model "longitudinal data" while economists often favor "fixed effects" models and "cluster robust standard errors" for modeling "panel data".  This talk will define each of these methods conceptually, describe the similarities and differences between them, and identify the situations where each are appropriate.

3. Introduction to Difference in Differences in Stata
Tuesday, May 28, 12:00PM - 12:50PM,  ZOOM
https://ucr.zoom.us/j/92168079671

This talk will briefly introduce the concepts and jargon of difference-in-differences (DID) models and show how to fit the models using Stata's suite of DID commands. We will demonstrate how to fit models for repeated cross-sectional data using 'didregress' and for panel/longitudinal data using 'xtdidregress'. We will also fit heterogeneous DID models where the average treatment effect varies over time or cohort using 'hdidregress' and 'xthdidregress'. We will discuss the model assumptions and how to check these assumptions after fitting a model. We can check the parallel-trends assumption using 'estat trendplots' and 'estat ptrends' and we can check for anticipation of treatment using 'estat granger'. After fitting heterogeneous DID models, we will also demonstrate how to aggregate the average treatment effect among the treated (ATET) using 'estat aggregation' and how to visualize the trends in ATETs using 'estat atetplot'.

4. How to Create Basic Stata Commands
Tuesday, May 28, 1:00PM - 1:50PM,  ZOOM
https://ucr.zoom.us/j/93468288442

This talk will introduce the basics of creating custom Stata commands.  You will learn how to store things in memory, where Stata stores things in memory and how to access them, how to handle conditions and branching, and how to use loops.  We will then demonstrate how to use these tools with to write custom Stata commands using -program-, -args-, and -syntax-.  You will learn how to write commands to perform simple calculations, post-estimation calculations, and create your own graphics commands.  Note that this talk does not demonstrate how to create your own estimation commands.

CLICK TO REGISTER<https://ucr.mywconline.com/>

For any questions, Please contact  gradquant at ucr.edu<mailto:gradquant at ucr.edu>

For more information, Please visit  GradQuant Website<https://gradquant.ucr.edu/programs/workshops/spring-2023>

To register on WC Online for GradQuant workshops, click here<https://mx.technolutions.net/ss/c/0xN2WHGS76Iu0AkPY1AuAuQWmnXR-jNP1DF9QekCBx_4ode5wHA8F9Mr96e3pQ3I/3vm/sBmgG_aZTj-PloNrlf9cfg/h5/G1478GZ1Cntcs3WYscYUvwn0EUamVDizdLZUlZRXXn4>.

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Other Related Workshops at GradQuant:

Singular Value Decomposition and Linear Regression
Wednesday, May 29 (5/29)
10:00am - 12:00pm in LFSC 1425<https://mx.technolutions.net/ss/c/3umeT0p8JC2YP-dw0QylhEzy2jRZyiKr1k_A2-IEGm0eNyclk7XtEav9e4_y6oup/3vm/sBmgG_aZTj-PloNrlf9cfg/h4/yFfN3QdBbwZa0u1vTjK5LAADRS_ahp4GPv2ccvTPcY8> [IN-PERSON]

Unlock the potential of Singular Value Decomposition for dimensionality reduction and enhancing Linear Regression analysis. Become a more efficient programmer and statistician.

Introduction to Python
Thursday, May 30 (5/30)
3:30pm - 5:00pm

This workshop introduces basic programming constructs in python and enables users to understand basics, including syntax, operations, data types and structures, functions, control structures, and simple data manipulation.

For more information, Please visit  GradQuant Website<https://gradquant.ucr.edu/programs/workshops/spring-2023>
To register on WC Online for GradQuant workshops, click here<https://mx.technolutions.net/ss/c/0xN2WHGS76Iu0AkPY1AuAuQWmnXR-jNP1DF9QekCBx_4ode5wHA8F9Mr96e3pQ3I/3vm/sBmgG_aZTj-PloNrlf9cfg/h5/G1478GZ1Cntcs3WYscYUvwn0EUamVDizdLZUlZRXXn4>.

[cid:ii_lwjo6mfu0]

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