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.