This annual worldwide event was set up and is coordinated by EURORDIS and 65+ national alliance patient organization partners. It provides an energy and focal point to raise awareness among policymakers and the public about rare diseases and their impact on patients' lives.
Since 2011, NCATS and the NIH Clinical Center have sponsored Rare Disease Day at NIH as part of this global observance. Rare Disease Day at NIH aims to raise awareness about rare diseases, the people they affect, and NIH collaborations that address scientific challenges and advance research for new treatments.
The goals of Rare Disease Day at NIH are to:
Rare Disease Day at NIH will be held in person at NIH Main Campus (Natcher Conference Center) and virtually via NIH VideoCast with the event archived for replay afterward. The agenda features panel discussions, rare diseases stories, exhibitors and scientific posters. The event is free and open to the public.
For more info, visit ncats.nih.gov/news/events/rdd.
This one-day course will be offered via Zoom only. Course schedule is 10:00am – 4:00pm, with a 1-hour lunch and (2) 10-minute breaks (one in the morning and one in the afternoon). Attendance is required as it will not be recorded.
This course will be a brief and thorough introduction to modern methods of time series analysis. Topics to be covered include elementary time series models, trend and seasonality, stationary processes, autoregressive/integrated/moving average (ARIMA) processes, fitting ARIMA models, forecasting, spectral analysis, the periodogram, spectral estimation techniques, multivariate time series. Additional topics may be covered if time permits. Some applications will be provided to illustrate the usefulness of the techniques
Prerequisites:
Course in probability and statistics and familiarity with matrix theory and linear algebra.
Course Goals:
This course will provide students with a theoretical foundation in the analysis of time series in the time domain including identification, estimation, and prediction in several well-established time series models.
By the end of the course, you will be able to:
• Analyze datasets to construct plausible time series models
• Estimate parameters of ARMA and ARIMA models
• Model and forecast with ARMA, ARIMA and SARIMA processes
• Analyze multivariate time series models
Intended for participants of all training levels, this workshop helps members of the biomedical research community develop skills about how thoughtfully to communicate the use of race and ethnicity in their work.
We will highlight examples of current communication of race and ethnicity in published research; cross-disciplinary "best practices"; common poor practices (i.e., ambiguous or harmful language); and how participants can improve their own writing and communication around race and ethnicity.
Our four-hour interactive workshop will include brief lectures paired with small-group activities in which participants will practice applying core concepts. We will also share a detailed resources packet that includes guidelines, readings, and other materials supporting thoughtful and clear communication of race and ethnicity in research.
Rae Anne Martinez, MSPH
PhD candidate
Department of Epidemiology at UNC Chapel Hill
Nafeesa Andrabi, MA
PhD candidate
Department of Sociology at UNC Chapel Hill
Andi Goodwin, MA
PhD student
Department of Sociology at UNC Chapel Hill
Rachel Wilbur, PhD
Postdoctoral Fellow in Indigenous Community Well-Being
Harvard University
This workshop is brought to you by the NC TraCS Comparative Effectiveness Research (CER) Program and the UNC Pharmacoepidemiology Program at the UNC Gillings School of Global Public Health.
This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:
Margaret Kuklinski, PhD
Endowed Associate Professor of Prevention in Social Work
Director, Social Development Research Group
Acting Director, Center for Communities That Care
School of Social Work, University of Washington
Stacy Sterling, DrPH, MSW
Kaiser Permanente Division of Research
Co-Director, Center for Addiction and Mental Health Research
Associate Adjunct Professor, UCSF Department of Psychiatry and Behavioral Sciences
Associate Professor, Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine