This two-day (3/21 and 3/23) course will be offered IN-PERSON only.

Course Summary:
This course teaches students when and how to use logistic regression models. This type of regression is used to estimate the odds or probability that an event with two categories will occur, e.g., whether individuals with characteristics of interest are likely to develop an illness, pay a debt, pass a class, have a car accident, or benefit from treatment. At the end of the course, students will be able to fit models, estimate and interpret results in terms of probabilities, odds, and logit coefficients using Stata. To achieve this end, students will learn to perform diagnostic tests: multicollinearity, discrimination, residuals, influential observations. Moreover, the class will cover how to do the following:
• Report standardized and unstandardized effects
• Compare the effect of coefficients in the model
• Interpret and graph interaction effects

Requirements:
1. Students must know how to model and interpret ordinary least square (OLS) regressions
2. Know how to use the basic Stata functions, i.e., enter and save data, create variables, use command window, and do file.

Instructor: Eugenia Conde
Dr. Conde is a Statistical Consultant at The H. W. Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill. She provides consultations to students and faculty on research methods and statistics. Her Ph.D. is in sociology with a concentration in demography and medical sociology. In addition, she holds an MSPH in epidemiology. Before working at the Odum Institute, she worked at Rutgers University and at Duke University as a statistical consultant for graduate students and as a statistician for researchers from different disciplines, including political science, economics, psychology, sociology, and public health.

She is co-authoring a statistics book with Dr. Dudley L. Poston and Dr. Layton Field, Applied Regression Models in the Social Sciences (Forthcoming, Cambridge University Press). Her research interests include social inequalities, research methods, and statistics with a focus on missing data and methodologies to study people of color.

Registration Fees
- $0, with a $20 deposit to hold your spot (deposit is refundable upon your attendance for at least 66% of the course)

Additional Course Registration
- Registration will close at 12:01 am on 3/18/2022. Once registration closes, no late registrations will be accepted, no exceptions.
- Cancellation/ Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.
- For questions regarding the status of this class, please contact Jill Stevens at This email address is being protected from spambots. You need JavaScript enabled to view it..

Register

This two-day (3/21 and 3/23) course will be offered IN-PERSON only.

Course Summary:
This course teaches students when and how to use logistic regression models. This type of regression is used to estimate the odds or probability that an event with two categories will occur, e.g., whether individuals with characteristics of interest are likely to develop an illness, pay a debt, pass a class, have a car accident, or benefit from treatment. At the end of the course, students will be able to fit models, estimate and interpret results in terms of probabilities, odds, and logit coefficients using Stata. To achieve this end, students will learn to perform diagnostic tests: multicollinearity, discrimination, residuals, influential observations. Moreover, the class will cover how to do the following:
• Report standardized and unstandardized effects
• Compare the effect of coefficients in the model
• Interpret and graph interaction effects

Requirements:
1. Students must know how to model and interpret ordinary least square (OLS) regressions
2. Know how to use the basic Stata functions, i.e., enter and save data, create variables, use command window, and do file.

Instructor: Eugenia Conde
Dr. Conde is a Statistical Consultant at The H. W. Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill. She provides consultations to students and faculty on research methods and statistics. Her Ph.D. is in sociology with a concentration in demography and medical sociology. In addition, she holds an MSPH in epidemiology. Before working at the Odum Institute, she worked at Rutgers University and at Duke University as a statistical consultant for graduate students and as a statistician for researchers from different disciplines, including political science, economics, psychology, sociology, and public health.

She is co-authoring a statistics book with Dr. Dudley L. Poston and Dr. Layton Field, Applied Regression Models in the Social Sciences (Forthcoming, Cambridge University Press). Her research interests include social inequalities, research methods, and statistics with a focus on missing data and methodologies to study people of color.

Registration Fees
- $0, with a $20 deposit to hold your spot (deposit is refundable upon your attendance for at least 66% of the course)

Additional Course Registration
- Registration will close at 12:01 am on 3/18/2022. Once registration closes, no late registrations will be accepted, no exceptions.
- Cancellation/ Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.
- For questions regarding the status of this class, please contact Jill Stevens at This email address is being protected from spambots. You need JavaScript enabled to view it..

Register

CTSA Grand Rounds: Marquis Hawkins, PhD - The impact of sleeping and waking behaviors on maternal health during pregnancy

Please join us to hear Marquis Hawkins, PhD, a K scholar from the University of Pittsburgh, discuss his work on sleep health characteristics and gestational weight gain.

For any questions regarding the event, please email Susan Pusek at This email address is being protected from spambots. You need JavaScript enabled to view it..

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The Department of Allied Health Sciences and the Office of Research and Scholarship are hosting the research forum Writing Skills Development Program: How did they get all that money from IES?

Event Description:

Learn about the grant proposal requirements for the Institute of Education Sciences with tips for how to get funded. Dr. Costa is an intervention scientist with the UNC-CH School of Medicine. Over her 15-year research career, she has secured IES funding for multiple projects aimed at improving the written expression for children in pre-K through 8th grade.

Presenter:

Lara Costa, PhD
Research Project Director
DAHS

Faculty, staff, PhD students & post-docs: Join us for presentation and discussion!

Questions? Email to This email address is being protected from spambots. You need JavaScript enabled to view it.

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Join leading Indigenous health leaders and scientists as they discuss the ethical use of Native genetic, microbiome, biological, and cultural data. A one-day virtual symposium featuring a renowned Indigenous keynote speaker, leading Native scientists and health experts, conversation with Tribal leaders, and a Science, Technology, Engineering, Art, and Math (STEAM) event for graduate and undergraduate students.

You'll learn:

- How a global movement toward data sovereignty is impacting health, science, ancient and ancestral social data, and research
- Ethical approaches for working with Southeast tribal communities within a cultural and political context
- Best practices for community-engaged research
- Research needs and data sufficiency issues in Southeast Indian Country

Organizers:

Based at UNC-Chapel Hill, Southeast Native American Health Data (SENAHD) is an initiative to bring information and programming to tribal communities, researchers, and health professionals in the Southeast about the ethical use of Indigenous genetic, microbiome, biological, and cultural data in collaboration with the Native BioData Consortium, the first 501(c)(3) nonprofit research institute led by Indigenous scientists and tribal members in the United States.

UNC Chapel Hill partners:

- UNC American Indian Center
- Odum Institute for Research in Social Science
- Kenan-Flagler Business School, Whole Community Health: Rural Innovation

Can’t attend live? Register! We will send you the recording afterward.

Register

CTSA Grand Rounds: Mona Mashayekhi, MD, PhD - The contribution of adipose tissue and systemic inflammation to cardiovascular diseases in obesity

Please join us to hear Mona Mashayekhi, MD, PhD, a K scholar from Vanderbilt University, discuss her work to characterize the anti-inflammatory potential of newer anti-diabetic agents.

For any questions regarding the event, please email Susan Pusek at This email address is being protected from spambots. You need JavaScript enabled to view it..

Register

A Telehealth-Delivered Pragmatic Trial of Mindfulness for Persons with Chronic Low Back Pain (Natalia Morone, MD, MS)

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:

Natalia E. Morone, MD, MS
Associate Professor of Medicine
Boston University/Boston Medical Center

Learn More