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LATEST PROJECTS

I was recently awarded first place for our research on "Small Areal Estimation of Racial Disparities in Diabetes Using Multilevel Reweighted Regression" for the Applied Public Health Statistics Student Research Competition at the 141st American Public Health Association Annual Meeting.

 

Here are links to a few conference proceedings on the topic:

Lucy D’Agostino, Melody S. Goodman, “Multilevel Reweighted Regression Models to Estimate County-Level Racial Health Disparities Using PROC GLIMMIX” Oral presentation at SAS Global Forum, San Francisco, CA. April 2013.

 

Lucy D’Agostino McGowan, Melody S. Goodman, “Using PROC GLIMMIX and PROC SGPLOT to Demonstrate County-level Racial Disparities in Obesity in North Carolina” Oral presentation at North East SAS Users Conference. Burlington, Vermont. September 2013.

Project |01

 

Small Area Analysis Techniques: Estimating County-level Racial Disparities using Multilevel Reweighted Regression​
 

I am involved in multiple studies using multilevel reweighted regression to estimate county-level racial disparities in diabetes, obesity, colorectal cancer screening, breast cancer screening, and cervical cancer screening.  Much of the data in these fields is at the national or state level.  These levels may be too far removed from the individual level where health outcomes are realized.  In order to fill this data void, we use a small area analysis technique to estimate county-level data by race, allowing for targeted policies, programs, and interventions.  To the left is a poster I presented on this topic.

 

Project |02

 

SAS® Projects
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Many of my projects involve SAS.  The first conference I presented at was SAS Global Forum 2013.  Here, I was named a SAS Student Ambassador and won Best Contributed Paper for the Statistics and Data Analysis Section.  Since then, I have presented at the North East SAS User Group, SAS Analytics, and I have been invited to present at SAS Global Forum 2014.  To the left are a couple of my posters.

Project |03

 

Center for Outpatient Health​
 

As a research assistant in the Goodman Lab, one of my primary duties is my role in the Center for Outpatient Health study.  As the survey data manager, I am responsible for all data collection forms, data entry, and data dispersion for this project.  For this study, I have experience in all aspects of the study process, from going out in the field once a week to collect data, to creating the data entry forms and templates, to quality control and data analysis.  This study looks at a wide variety of health behaviors and health outcomes and will hopefully play a key role in our understanding of the population.

Just a sample of my work. To see more or discuss possible work >>

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