This course will be offered in-person only and will not be recorded.
Although graduate school teaches you many things, many Ph.D. students complete their dissertations having never been fully trained in academic publishing. How does academic publishing actually work? Where should you publish your research? How do you actually get papers accepted in strong academic journals? In this talk, we will discuss several major ideas in academic publishing (focusing on the social sciences). We will discuss:
Instructor: Todd Bendor
Todd BenDor is a Professor of City and Regional Planning at the University of North Carolina at Chapel Hill. His research and teaching focus on developing ways to better understand and prevent impacts from urban growth on sensitive environmental systems.
Much of his recent research has studied the social, economic, and ecological consequences of ecosystem service markets and ecological restoration regulations. He has also developed computer models to assess the opportunities and consequences of urban growth, as well as promote environmental conflict resolution.
Professor BenDor is a faculty member in UNC’s Curriculum for the Environment and Ecology. He holds a B.S. from the Worcester Polytechnic Institute, an M.S. from Washington State University, and a Ph.D. from the University of Illinois at Urbana-Champaign.
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: $45
Additional Course Registration
- Registration will close at 12:01 am on 8/23/2022. 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.
- 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:
Areef Ishani, MD MS
Director, Primary Care and Specialty Medicine Service Line
Minneapolis VA Health Care System
Professor of Medicine
University of Minnesota
The goal of genetic association studies is to identify genetic variants that are associated with a trait or phenotype, which is often a disease. This problem is challenging to solve because there are often millions of tests to be performed, numerous causal variants, non-genetic factors that are often unknown, and structure in the genetic data.
Genetic data can be structured, in the sense that samples are not independent, under a variety of real-world scenarios, including the presence of close or distant relatives, and multiple genetic ancestries such as in multiethnic studies and recently admixed populations such as African-Americans and Hispanics. Genetic data is also structured due to linkage disequilibrium, which results in correlations between variants that are in physical proximity. In addition to reviewing all of these concepts, the presentation will focus on the two most common models for this task, namely linear regression with principal components as covariates, and linear mixed-effects models, and includes some recent evaluations comparing the two.
Intended audience: biostatisticians and clinical/translational researchers
Technical level: intermediate
Presenter: Alex Ochoa, PhD
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