Applied Time Series Analysis in Healthcare
Duration: 240 Minutes
This 4-hour webinar will provide attendees with the theory and application of time series analysis. The main focus will be on auto regressive 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.
- Basic understanding of data used in health care settings
- When to use a time series model
- Assumptions and limitations of time series modeling
- How to prepare data for modeling
- Basic steps in modeling time series data
- Develop graphical displays of time series data
- How to report findings of time series analysis
- How to adjust models to meet assumptions for analysis or to troubleshoot discrepancies in the data or findings
- Forecasting, planning, and goal setting
- What can I forecast/predict?
- Basic steps in forecasting
- Statistical theory as related to predictive models and forecasting
- Graphics
- Time series regression
- Time series decomposition
- Smoothing techniques
- ARIMA models
- Dynamic Regression models
- Hierarchical and grouped times series models
- Issues in forecasting and predictive modeling
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.
Examples of times series analyses will be presented using R software. Data and annotated syntax/code will be provided to attendees so they may work the exercises on their own.
- Investigators
- Administrators in health care fields
- Nursing Management
- Hospital Management
- Physicians
- Clinical Investigators
- Clinical Research Statisticians
- Clinical Research Coordinators
- Clinical Research Nurse Coordinators
- Clinical Research Associates/Assistants
- Clinical Project Managers/Leaders
- Study Managers
- Regulatory Professionals who use statistical concepts/terminology in reporting
- Medical Writers and others who need to interpret statistical reports
- Administrators in health care fields
Elaine Eisenbeisz is a private practice statistician and owner of Omega Statistics, a statistical consulting firm based in Southern California.
Elaine earned her B.S. in Statistics at UC Riverside and received her Master’s Certification in Applied Statistics from Texas A&M.
Elaine is a member in good standing with the American Statistical Association and a member of the Mensa High IQ Society. Omega Statistics holds an A+ rating with the Better Business Bureau.
Elaine has designed the methodology and analyzes data for numerous studies in the clinical, biotech, and health care fields. Elaine has also works as a contract statistician with private researchers and biotech start-ups as well as with larger companies such as Allergan, Nutrisystem and Rio Tinto Minerals. Throughout her tenure as a private practice statistician, she has published work with researchers and colleagues in peer-reviewed journals.
Upcoming Webinars
By Marcia Zidle
Date: March 26, 2026
By Garrett Wasny
Date: March 26, 2026
By Edlyn McGarity
Date: March 31, 2026
By Dr. Susan Strauss
Date: April 1, 2026
By Margie Faulk
HR Documentation: How Can HR Professionals and Supervisors Create Litigation-Proof Decisions in 2026
Date: April 1, 2026
By Ms. Michael Redmond
Date: April 1, 2026
By Audrey Halpern
Date: April 2, 2026
By Diane L. Dee
Date: April 2, 2026
By Don Phin
Date: April 2, 2026
By Bob Verchota
Date: April 2, 2026
By William Mack Copeland
Date: April 3, 2026
By Richard E Cascarino
Date: April 3, 2026
By Bruce Lee
Date: April 6, 2026
By Carolyn Troiano
Date: April 6, 2026
By Deb Schaffer
Date: April 6, 2026
By Candie L. Simmons
Date: April 7, 2026
By David Nettleton
Date: April 8, 2026
By Marcia Zidle
Date: April 8, 2026
By Dr. Susan Strauss
Date: April 9, 2026
By Mark Gorkin
Date: April 9, 2026
By Pete Tosh
Date: April 10, 2026
By Carolyn Troiano
Validation of FDA-Regulated Medical Device and SaMD Products Using AI, ML, and LLMs, such as ChatGPT
Date: April 10, 2026
By Dev Strischek
Date: April 13, 2026
By Allen Evitts
Date: April 13, 2026
By Edwin Waldbusser
Date: April 14, 2026
By Mark Gorkin
Date: April 14, 2026
By Erica Chisolm & Vanessa Hardiman
Date: April 17, 2026
By Sonja Pasquantonio
Date: April 20, 2026
By David Nettleton
Date: April 20, 2026
By Elaine Eisenbeisz
Date: April 20, 2026
By Paul Pelletier
Date: April 21, 2026
By Melveen Stevenson
Recorded Session
By Melveen Stevenson
Recorded Session
By Michael Healey
Recorded Session
By Paul Pelletier
Recorded Session
By Richard E Cascarino
Recorded Session
By Mike Thomas
Recorded Session
By Paul J. Cline
Recorded Session
By Mike Thomas
Recorded Session
By Beverly Beuermann-King
Recorded Session
By Brian G. Rosenberg
Recorded Session
By Marcia Zidle
Unlock Employee Loyalty: Stay Interviews Will Keep Them Engaged Before They Start Looking Elsewhere!
Recorded Session
By Marcia Zidle
Recorded Session
By Margie Faulk
Recorded Session
By Kelly Thomas
Recorded Session
By Ronald L. Adler
Recorded Session
By Brian G. Rosenberg
Recorded Session
By Rachelle D Souza
Recorded Session
By Bruce Lee
Recorded Session
By Ritu Arora
Recorded Session
By Carolyn Troiano
Recorded Session
By Ginette M. Collazo
Recorded Session
By Justin Muscolino
Recorded Session
