Last year, the TraCS Biostatistics team hosted an introductory overview of power analyses. This talk is offered as a follow-up presentation, giving more varied information about sample size planning.
Emphasis will be given to different kinds of sample size estimation for different situations, the notion of effect size and how to estimate it, and some strategies to improve power. (Although the presenter will provide a brief review of hypothesis testing and the basics of power at the beginning, people who are wholly unaware of power analysis may find this follow-up talk more difficult to follow.)
Presenter: Jeff Laux, PhD
Research Associate, NC TraCS Biostatistics
Format: ~1 hour talk, 30 min Q&A
The NC TraCS Biostatistics Seminar Series provides more in-depth discussion of select biostatistical topics for clinical and translational researchers who have basic quantitative training in biostatistical methods. Join us this fall for seminars on power analysis & sample size planning, parameter interpretation in generalized mixed regression models, basic steps in questionnaire development, and choosing the right graphs and tables for your data.
This course will be offered over 2 mornings via Zoom only. However, this course will not be recorded.
This course provides an introduction to developing multi-item scale measures and survey instruments. Examples include measures of various social and psychological variables that might be assessed in health, medicine, journalism, or other related research areas. After a brief theoretical introduction to topics such as defining a construct and types of validity, we will turn to applied issues such as what is the optimal scale development process and how (and when) can you deviate from that process. We will also address practical issues around questionnaire design such as how to construct a “good” survey instrument that has a natural flow, minimizes participant burden, has appropriate response options, and other common concerns in scale development and design. We will focus on real-life examples to demonstrate the scale development process. Although we will briefly discuss the kinds of quantitative techniques that are commonly used in the scale development process, this course will not cover the application of these methods.
Instructor: Marcella Boynton, PhD
Boynton has been conducting psychometrics research for 15 years, with an emphasis on health-related constructs. A social psychologist by training, Boynton is currently an assistant professor in the UNC Division of General Medicine and Clinical Epidemiology, School of Medicine, and a biostatistician at NC TraCS Institute where she provides statistics, research methods, and psychometrics support to a wide range of translational and behavioral scientists.
Registration Fees
- UNC-CH Students: $65
- UNC-CH Faculty/Staff/Postdoc/Resident/Visiting Scholar: $90
Additional Course Registration
- This class will be offered via Zoom ONLY. Registration closes at 12:01am, 9/3/2022. 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 the 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.
- Zoom link for this course will be sent prior to the course. Registration must be made at least 3 days prior to the course date to receive the Zoom link.
- 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..
This course will be offered over 2 mornings via Zoom only. However, this course will not be recorded.
This course provides an introduction to developing multi-item scale measures and survey instruments. Examples include measures of various social and psychological variables that might be assessed in health, medicine, journalism, or other related research areas. After a brief theoretical introduction to topics such as defining a construct and types of validity, we will turn to applied issues such as what is the optimal scale development process and how (and when) can you deviate from that process. We will also address practical issues around questionnaire design such as how to construct a “good” survey instrument that has a natural flow, minimizes participant burden, has appropriate response options, and other common concerns in scale development and design. We will focus on real-life examples to demonstrate the scale development process. Although we will briefly discuss the kinds of quantitative techniques that are commonly used in the scale development process, this course will not cover the application of these methods.
Instructor: Marcella Boynton, PhD
Boynton has been conducting psychometrics research for 15 years, with an emphasis on health-related constructs. A social psychologist by training, Boynton is currently an assistant professor in the UNC Division of General Medicine and Clinical Epidemiology, School of Medicine, and a biostatistician at NC TraCS Institute where she provides statistics, research methods, and psychometrics support to a wide range of translational and behavioral scientists.
Registration Fees
- UNC-CH Students: $65
- UNC-CH Faculty/Staff/Postdoc/Resident/Visiting Scholar: $90
Additional Course Registration
- This class will be offered via Zoom ONLY. Registration closes at 12:01am, 9/3/2022. 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 the 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.
- Zoom link for this course will be sent prior to the course. Registration must be made at least 3 days prior to the course date to receive the Zoom link.
- 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..
This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:
Steven Joffe, MD, MPH
Art and Ilene Penn Professor and Chair
Department of Medical Ethics & Health Policy
University of Pennsylvania Perelman School of Medicine
This event will be the first IN-PERSON Carolina Data Science Now seminar and will take place at the UNC CURRENT ArtSpace + Studio. This month’s seminar features Stan Ahalt, PhD, the Inaugural Dean of the School of Data Science and Society, in conversation with Chancellor Kevin Guskiewicz and Interim Vice Chancellor for Research Penny Gordon-Larsen and others.
Those attending in-person are invited for light refreshments after the event. Additionally, the event will be livestreamed on the School of Data Science and Society’s YouTube channel. Closed caption services will be provided for the livestream event. This event will be recorded, and the link will be shared with those who register in advance.
About the Venue: CURRENT ArtSpace is a flexible and immersive performing arts venue in the heart of the new Carolina Square development on Franklin Street. It is located near the Target and Granville Towers on Franklin Street.
For more information, please visit here.
Join the Research Integration Team for an interactive conversation about the One UNC Clinical Research Initiative between the Office of the Vice Chancellor for Research, School of Medicine and Healthcare System.
All are encouraged to participate, share their thoughts, and ask questions. | Submit questions
Featuring:
Andy Johns, Senior Associate Vice Chancellor for Research
Shakira Henderson, Assistant Vice Chancellor for Clinical Research; Vice President Research Officer; Clinical Research Integration Officer
The Proposal Development Unit in the Office of Research and Innovation at NC State University invites everyone in the NC State community and the broader NC TraCS Institute community to participate in the NIH @ NC State Fall Grantsmanship Series.
With 27 Institutes and Centers and a two-stage review process, NIH can be overwhelming for new researchers. This session will help people navigate the NIH to find their funding opportunity, funding Institute or Center, peer-review study section, and program officer contact.
Terry Hartman and Susan Moist will provide a one hour overview of industry clinical trial budget and contract negotiation.
Objectives:- Understand responsibilities in budget and contract negotiation
- Provide an overview of the process of reviewing and negotiating a study budget
- Identify common pitfalls in budget negotiation
- Provide basic strategies in successfully negotiating study budgets
- Understand the importance of careful review of payment terms
This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:
Tor Biering-Sørensen, MD, PhD, MPH
Professor in Translational Cardiology and Pragmatic Randomized Trials
Head of Center for Translational Cardiology and Pragmatic Randomized Trials
Department of Biomedical Sciences
Faculty of Health and Medical Sciences
University of Copenhagen
Head of Cardiovascular Non-Invasive Imaging Research Laboratory
Department of Cardiology
Copenhagen University Hospital – Herlev and Gentofte
The UNC Lineberger Comprehensive Cancer Center and the Duke Cancer Institute, in collaboration with No Stomach for Cancer, are hosting the Spotlight on Stomach Cancer symposium in Durham, NC. Five panel sessions, 14 speakers, lots of time for Q&A.
This free event is open to the general public, patients, and caregivers. Spotlight topics include:
- Prevention
- Genetic considerations
- Treatment options
- Clinical trials
- Nutrition after gastrectomy
- Survivorship care
Participate in person or virtually.
This course will be offered via Zoom and divided into two parts: September 20 & 22 and October 4 & 6. Attendance is required as the course will not be recorded.
Course Summary:
Statistical machine learning and data mining is an interdisciplinary research area which is closely related to statistics, computer sciences, engineering, and bioinformatics. Many statistical machine learning and data mining techniques and algorithms are very useful for various scientific areas. This short course will provide an overview of statistical machine learning and data mining techniques with applications to the analysis of real data. Supervised learning techniques will be covered, including penalized regression such as LASSO and its variants, support vector machines. The main emphasis will be on the analysis of real data sets from various scientific fields. The techniques discussed will be demonstrated in R.
This course is intended for researchers who have some knowledge of statistics and want to be introduced to statistical machine learning and data mining, or practitioners who would like to apply statistical machine learning techniques to their problems.
Prerequisite:
Participants should be familiar with linear regression and basic statistical and probability concepts, as well as some familiarity with R programming.
Instructor: Yufeng Liu, PhD
Yufeng Liu, PhD, is currently a professor in the Department of Statistics and Operations Research, Department of Biostatistics, and Department of Genetics at UNC-Chapel Hill. His current research interests include statistical machine learning, high dimensional data analysis, personalized medicine, and bioinformatics. He has taught statistical machine learning courses multiple times at UNC, as well as short courses on this subject at Joint Statistical Meetings, ENAR, FDA, and Biostatistics Summer Institutes at the University of Washington.
Registration Fees
- UNC-Chapel Hill Students: $0, with a $20 deposit to hold your spot (deposit is refundable upon your attendance for at least 66% of the course)
- UNC-Chapel Hill Faculty/Staff/Postdoc/Resident/Visiting Scholars: $40
Additional Course Registration
- Registration will close at 12:01 am on 9/17/2022. 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.
- Zoom link for this course will be sent prior to the course. Registration must be made at least 3 days prior to the course date to receive the Zoom link.
- 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..
TraCS has released a new pilot RFA that is focused on translational science. Since this is a departure from our long-standing pilot RFAs focused on translational research, we are holding information sessions for investigators interested in learning more about this new funding opportunity.
Presenters
David Peden, MD, MS
CTS Pilot Program Module Lead,NC TraCS Institute
Senior Associate Dean for Translational Research, UNC School of Medicine
David Carroll, PhD
Director of Research Funding Development, NC TraCS Institute
This course will be offered via Zoom and divided into two parts: September 20 & 22 and October 4 & 6. Attendance is required as the course will not be recorded.
Course Summary:
Statistical machine learning and data mining is an interdisciplinary research area which is closely related to statistics, computer sciences, engineering, and bioinformatics. Many statistical machine learning and data mining techniques and algorithms are very useful for various scientific areas. This short course will provide an overview of statistical machine learning and data mining techniques with applications to the analysis of real data. Supervised learning techniques will be covered, including penalized regression such as LASSO and its variants, support vector machines. The main emphasis will be on the analysis of real data sets from various scientific fields. The techniques discussed will be demonstrated in R.
This course is intended for researchers who have some knowledge of statistics and want to be introduced to statistical machine learning and data mining, or practitioners who would like to apply statistical machine learning techniques to their problems.
Prerequisite:
Participants should be familiar with linear regression and basic statistical and probability concepts, as well as some familiarity with R programming.
Instructor: Yufeng Liu, PhD
Yufeng Liu, PhD, is currently a professor in the Department of Statistics and Operations Research, Department of Biostatistics, and Department of Genetics at UNC-Chapel Hill. His current research interests include statistical machine learning, high dimensional data analysis, personalized medicine, and bioinformatics. He has taught statistical machine learning courses multiple times at UNC, as well as short courses on this subject at Joint Statistical Meetings, ENAR, FDA, and Biostatistics Summer Institutes at the University of Washington.
Registration Fees
- UNC-Chapel Hill Students: $0, with a $20 deposit to hold your spot (deposit is refundable upon your attendance for at least 66% of the course)
- UNC-Chapel Hill Faculty/Staff/Postdoc/Resident/Visiting Scholars: $40
Additional Course Registration
- Registration will close at 12:01 am on 9/17/2022. 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.
- Zoom link for this course will be sent prior to the course. Registration must be made at least 3 days prior to the course date to receive the Zoom link.
- 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..
Part 2: Diving Deeper into the New NIH Data Management and Sharing (DMS) Policy
The NIH Office of Science Policy (OSP) and the Office of Extramural Research (OER) invite you to join them for an engaging and interactive webinar focused on the new DMS policy which goes into effect on January 25, 2023. In this second webinar of the series, they will expand upon the information presented in the first webinar and dive deeper into topics including privacy protections for data from human participants and justifiable limitations on sharing data. Don't miss this valuable opportunity to hear policy experts provide the latest information and to get your questions answered.
RESOURCES: Check out the latest DMS policy information, resources, and FAQs at sharing.nih.gov. This event will be recorded.
QUESTIONS ABOUT THIS WEBINAR: Email the NIH OER Communications Team at This email address is being protected from spambots. You need JavaScript enabled to view it..
ACCESSIBILITY: NIH strives to host inclusive, accessible events that enable all individuals to engage and participate fully. All presentations will include real-time closed captioning and ASL interpreters. To request additional accommodations or for inquiries about accessibility, please contact This email address is being protected from spambots. You need JavaScript enabled to view it. at least 3 business days before the event.
This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:
Margaret McConnell, PhD
Associate Professor
Harvard T.H. Chan School of Public Health
This course will take place over three mornings (9/26/22, 9/28/22, and 9/30/22), 2.5 hours per morning, and will be offered via Zoom. Attendance is required as the course will not be recorded.
Integrated mixed methods are used to answer questions that necessitate more than one method to achieve a holistic understanding. Combining qualitative and quantitative approaches can enhance conversations about theory, practice, and/or policy. This demanding paradigm requires knowledge, skill, and expertise in quantitative and qualitative methods, as well as the art of intentionally integrating the approaches to and findings from each mode of inquiry. This course focuses on strategies, tips, and best practices to accomplish integration in accessible and effective ways, including:
Instructor: Alison B. Hamilton, PhD, MPH
Alison B. Hamilton, PhD, MPH, a VA Research Career Scientist and Professor-in-Residence in the UCLA Department of Psychiatry and Biobehavioral Sciences, received her PhD in medical and psychological anthropology from UCLA in 2002, and her MPH in Community Health Sciences from UCLA in 2009. Hamilton is the Director of the VA-funded EMPOWER (Enhancing Mental and Physical Health of Women through Engagement and Retention) Quality Enhancement Research Initiative (QUERI), focused on improving women Veterans’ health and health care through implementation science. She is the Chief Officer of Implementation & Policy at the VA Health Services Research and Development (HSR&D) Center for the Study of Healthcare Innovation, Implementation and Policy at the VA Greater Los Angeles Healthcare System, specializing in women Veterans’ health, mental health services research, and implementation science.
She is also PI of a large-scale NIH study of enhancing organizational and individual readiness to address cardiovascular risk among individuals living with HIV. She was a fellow in the inaugural cohort of the NIMH/VA Implementation Research Institute and she serves as an Associate Editor for Implementation Science Communications (BMC) and on the editorial boards of Implementation Science (BMC), Women’s Health Issues (Elsevier), and Implementation Research and Practice (Sage).
Hamilton has been a consultant with ResearchTalk for over 20 years, providing direct support to clients as well as serving as faculty for several of the Qualitative Research Summer Intensives and mentor at ResearchTalk’s Qualitative Methods Camps. At recent Intensives, she has taught courses on qualitative methods in implementation research, rapid qualitative research methods, qualitative grant-writing, qualitative interviewing, integrated mixed methods research, and enhancing the usefulness of qualitative research. She is a co-author of Sort and Sift, Think and Shift (forthcoming, Guilford).
Registration Fees
- UNC-CH Students: $0, with a $35 deposit to hold your spot (deposit is refundable upon your attendance for at least 66% of the course)
- UNC-CH Faculty/Staff/Postdoc/Resident/Visiting Scholar: $95
Additional Course Registration
- Registration will close at 12:01 am on 9/23/2022. 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.
-Zoom link for this course will be sent prior to the course. Registration must be made at least 3 days prior to the course date to receive the Zoom link.
This online course will be offered over 3 afternoons (9/26, 9/28, and 9/30), 2 hours per day. Attendance is required as the course will not be recorded.
This course introduces students to Stata and data management. It is tailored for beginners and researchers who want to learn how to manage data more effectively. Each day, the class will demonstrate how to use the commands, followed by hands-on exercises using sample datasets. By the end of the course, participants will be able to perform the following:
Instructor: Eugenia Conde, PhD
Eugenia Conde, PhD 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 PhD 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, 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 9/23/2022. 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.
-Zoom link for this course will be sent prior to the course. Registration must be made at least 3 days prior to the course date to receive the Zoom link.
This 3.5 hour course will be offered via Zoom. Attendance is required as the course will not be recorded.
This course will teach participants how to use the programming language Julia to load, clean, plot, and analyze social-science data. Julia is a newer programming language with a focus on high-performance scientific computing, and allows efficient manipulation of large datasets. The course will cover the basics of loading tabular data; cleaning, filtering, and joining that data; calculating descriptive statistics; and estimating statistical models.
Instructor: Matthew Wigginton Bhagat-Conway, PhD
Matthew Wigginton Bhagat-Conway, PhD, is an Assistant Professor in the Department of City and Regional Planning and a consultant in the Odum Institute for Research in Social Science. His research interests are in travel behavior, urban transportation, and statistical methods for transportation data analysis. He is available to assist researchers with statistics and data analysis.
Bhagat-Conway has a PhD and MA in Geography from Arizona State University, and a BA in Geography from the University of California, Santa Barbara. Prior to graduate school, he was a software developer and project manager for Conveyal, a public transport planning consulting firm, and a fellow in the Data Science for Social Good fellowship at the University of Chicago.
Registration Fees
- UNC-CH Students: $0, with a $20 deposit to hold your spot (deposit is refundable upon your attendance for at least 66% of the course)
- UNC-CH Faculty/Staff/Postdoc/Resident/Visiting Scholar: $40
Additional Course Registration
- Registration will close at 12:01 am on 9/24/2022. 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.
-Zoom link for this course will be sent prior to the course. Registration must be made at least 3 days prior to the course date to receive the Zoom link.
This course will take place over three mornings (9/26/22, 9/28/22, and 9/30/22), 2.5 hours per morning, and will be offered via Zoom. Attendance is required as the course will not be recorded.
Integrated mixed methods are used to answer questions that necessitate more than one method to achieve a holistic understanding. Combining qualitative and quantitative approaches can enhance conversations about theory, practice, and/or policy. This demanding paradigm requires knowledge, skill, and expertise in quantitative and qualitative methods, as well as the art of intentionally integrating the approaches to and findings from each mode of inquiry. This course focuses on strategies, tips, and best practices to accomplish integration in accessible and effective ways, including:
Instructor: Alison B. Hamilton, PhD, MPH
Alison B. Hamilton, PhD, MPH, a VA Research Career Scientist and Professor-in-Residence in the UCLA Department of Psychiatry and Biobehavioral Sciences, received her PhD in medical and psychological anthropology from UCLA in 2002, and her MPH in Community Health Sciences from UCLA in 2009. Hamilton is the Director of the VA-funded EMPOWER (Enhancing Mental and Physical Health of Women through Engagement and Retention) Quality Enhancement Research Initiative (QUERI), focused on improving women Veterans’ health and health care through implementation science. She is the Chief Officer of Implementation & Policy at the VA Health Services Research and Development (HSR&D) Center for the Study of Healthcare Innovation, Implementation and Policy at the VA Greater Los Angeles Healthcare System, specializing in women Veterans’ health, mental health services research, and implementation science.
She is also PI of a large-scale NIH study of enhancing organizational and individual readiness to address cardiovascular risk among individuals living with HIV. She was a fellow in the inaugural cohort of the NIMH/VA Implementation Research Institute and she serves as an Associate Editor for Implementation Science Communications (BMC) and on the editorial boards of Implementation Science (BMC), Women’s Health Issues (Elsevier), and Implementation Research and Practice (Sage).
Hamilton has been a consultant with ResearchTalk for over 20 years, providing direct support to clients as well as serving as faculty for several of the Qualitative Research Summer Intensives and mentor at ResearchTalk’s Qualitative Methods Camps. At recent Intensives, she has taught courses on qualitative methods in implementation research, rapid qualitative research methods, qualitative grant-writing, qualitative interviewing, integrated mixed methods research, and enhancing the usefulness of qualitative research. She is a co-author of Sort and Sift, Think and Shift (forthcoming, Guilford).
Registration Fees
- UNC-CH Students: $0, with a $35 deposit to hold your spot (deposit is refundable upon your attendance for at least 66% of the course)
- UNC-CH Faculty/Staff/Postdoc/Resident/Visiting Scholar: $95
Additional Course Registration
- Registration will close at 12:01 am on 9/23/2022. 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.
-Zoom link for this course will be sent prior to the course. Registration must be made at least 3 days prior to the course date to receive the Zoom link.
Join the UNC Office of Research Development for a presentation about the 2023 Creativity Hubs Program, reviewing the program and covering updates to this year's program including co-sponsorship of a project with the new School of Data Science and Society (UNC SDSS). Full details at the 2023 RFP.
Please join the Department of Health Sciences Office of Research & Scholarship for the first research forum of the 2022-2023 academic year. The forum will take place in MacNider 321 with a Zoom option available.
Kimberly Jenkins, PhD
Division of Speech & Hearing Sciences
Patterns of grammatical development in Spanish-English dual language learners: What they indicate
Micheal Sandbank, PhD
Division of Occupational Science & Occupational Therapy
Understanding the factors that shape the effectiveness of autism-specific early childhood supports using meta-analysis
Julia Drouin, AuD, PhD
Division of Speech & Hearing Sciences
Auditory training to support pediatric cochlear implantation
Questions? Email John Grose at This email address is being protected from spambots. You need JavaScript enabled to view it..
This online course will be offered over 3 afternoons (9/26, 9/28, and 9/30), 2 hours per day. Attendance is required as the course will not be recorded.
This course introduces students to Stata and data management. It is tailored for beginners and researchers who want to learn how to manage data more effectively. Each day, the class will demonstrate how to use the commands, followed by hands-on exercises using sample datasets. By the end of the course, participants will be able to perform the following:
Instructor: Eugenia Conde, PhD
Eugenia Conde, PhD 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 PhD 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, 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 9/23/2022. 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.
-Zoom link for this course will be sent prior to the course. Registration must be made at least 3 days prior to the course date to receive the Zoom link.
TraCS has released a new pilot RFA that is focused on translational science. Since this is a departure from our long-standing pilot RFAs focused on translational research, we are holding information sessions for investigators interested in learning more about this new funding opportunity.
Presenters
David Peden, MD, MS
CTS Pilot Program Module Lead,NC TraCS Institute
Senior Associate Dean for Translational Research, UNC School of Medicine
David Carroll, PhD
Director of Research Funding Development, NC TraCS Institute
This course will take place over three mornings (9/26/22, 9/28/22, and 9/30/22), 2.5 hours per morning, and will be offered via Zoom. Attendance is required as the course will not be recorded.
Integrated mixed methods are used to answer questions that necessitate more than one method to achieve a holistic understanding. Combining qualitative and quantitative approaches can enhance conversations about theory, practice, and/or policy. This demanding paradigm requires knowledge, skill, and expertise in quantitative and qualitative methods, as well as the art of intentionally integrating the approaches to and findings from each mode of inquiry. This course focuses on strategies, tips, and best practices to accomplish integration in accessible and effective ways, including:
Instructor: Alison B. Hamilton, PhD, MPH
Alison B. Hamilton, PhD, MPH, a VA Research Career Scientist and Professor-in-Residence in the UCLA Department of Psychiatry and Biobehavioral Sciences, received her PhD in medical and psychological anthropology from UCLA in 2002, and her MPH in Community Health Sciences from UCLA in 2009. Hamilton is the Director of the VA-funded EMPOWER (Enhancing Mental and Physical Health of Women through Engagement and Retention) Quality Enhancement Research Initiative (QUERI), focused on improving women Veterans’ health and health care through implementation science. She is the Chief Officer of Implementation & Policy at the VA Health Services Research and Development (HSR&D) Center for the Study of Healthcare Innovation, Implementation and Policy at the VA Greater Los Angeles Healthcare System, specializing in women Veterans’ health, mental health services research, and implementation science.
She is also PI of a large-scale NIH study of enhancing organizational and individual readiness to address cardiovascular risk among individuals living with HIV. She was a fellow in the inaugural cohort of the NIMH/VA Implementation Research Institute and she serves as an Associate Editor for Implementation Science Communications (BMC) and on the editorial boards of Implementation Science (BMC), Women’s Health Issues (Elsevier), and Implementation Research and Practice (Sage).
Hamilton has been a consultant with ResearchTalk for over 20 years, providing direct support to clients as well as serving as faculty for several of the Qualitative Research Summer Intensives and mentor at ResearchTalk’s Qualitative Methods Camps. At recent Intensives, she has taught courses on qualitative methods in implementation research, rapid qualitative research methods, qualitative grant-writing, qualitative interviewing, integrated mixed methods research, and enhancing the usefulness of qualitative research. She is a co-author of Sort and Sift, Think and Shift (forthcoming, Guilford).
Registration Fees
- UNC-CH Students: $0, with a $35 deposit to hold your spot (deposit is refundable upon your attendance for at least 66% of the course)
- UNC-CH Faculty/Staff/Postdoc/Resident/Visiting Scholar: $95
Additional Course Registration
- Registration will close at 12:01 am on 9/23/2022. 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.
-Zoom link for this course will be sent prior to the course. Registration must be made at least 3 days prior to the course date to receive the Zoom link.
This online course will be offered over 3 afternoons (9/26, 9/28, and 9/30), 2 hours per day. Attendance is required as the course will not be recorded.
This course introduces students to Stata and data management. It is tailored for beginners and researchers who want to learn how to manage data more effectively. Each day, the class will demonstrate how to use the commands, followed by hands-on exercises using sample datasets. By the end of the course, participants will be able to perform the following:
Instructor: Eugenia Conde, PhD
Eugenia Conde, PhD 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 PhD 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, 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 9/23/2022. 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.
-Zoom link for this course will be sent prior to the course. Registration must be made at least 3 days prior to the course date to receive the Zoom link.
This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:
Marianne Chase
Senior Director Clinical Trial Operations
Neurological Clinical Research Institute
Massachusetts General Hospital
Jörg Goldhahn, MD
Medical Director
Director of Institute for Translational Medicine
ETH Zurich
Fall 2022 Seminar Series Co-Sponsored by the UNC Gillings Department of Nutrition and the UNC Nutrition Obesity Research Center
In-Person Seminar, Aging, Exercise, and Evolution in Human Energetics, with Herman Pontzer, PhD, Associate Professor of Evolutionary Anthropology and Global Health, Duke University.
Location: 2301 McGavran-Greenberg Hall