4-Hour Webinar: Applied Time Series Analysis in Healthcare

Time series models are invaluable to the health care field when it comes to planning and forecasting. Time series models can be used in many aspects of healthcare, including prediction of healthcare expenditures, tracking public health outcomes such as COVID-19, and assessing trends and interventions for patients with hypertension, diabetes, or other chronic diseases.

This 4-hour webinar will provide attendees with the theory and application of time series analysis. The main focus will be on autoregressive integrated moving average (ARIMA) techniques. Variations of the ARIMA and other models which operate under non-linear data, non-stationary data, seasonality, and trends will also be examined.

Examples of times series analyses will be presented using R statistical software. Data and annotated syntax/code will be provided to attendees so they may work the exercises on their own.