Introduction to Causal Inference: Propensity Score Analysis in Healthcare Data
This webinar is part of the Advanced Methods Webinar Series
This webinar will focus on learning causal inference approaches in a healthcare data analysis context with a particular focus on explaining the application of propensity score analysis in a real-world data analysis context. The session will outline how these analyses are different than conventional regression methods and will address key assumptions/diagnostics of these models.
Testimonial - PHDA overall course
"Great instructors with content expertise who are also very accessible for extra support, good class size with diverse classmates, and flexibility that online learning offers."
Testimonial - PHDA, Chisato Ito
- How did you learn about the program and what motivated you to enroll?
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I was looking for a professional development opportunity to brush up my data analysis skills and further develop them. I found about the program online through my own search. Reviewing the course offerings, I quickly thought the program would be a great fit for me.
GIS technology a key player in tracking and visualizing disease movement and activity?
COVID-19 (a new corona virus) has topped news headlines since early 2020 when it broke out in Wuhan, China. The outbreak has quickly become an international concern, and on January 30th, 2020 it was declared a Public Health Emergency of International Concern by the World Health Organization (WHO).
Linear Regression
Session 1: Wednesday February 25 | Session 2: Thursday February 26 | Session 3: Friday February 27, 2015
This webinar series is the first of two on regression analysis. The second will focus on logistic regression. Participants may register for either or both webinars (a discounted fee applies to those who sign up for both webinar series).
Structural Equation Modeling
Two-day workshop | Thursday October 6th and Friday October 7th, 2016
This two-day intensive workshop will focus on the practical application of structural equation modeling with specific applications for health and social science researchers. Mornings will consist of a series of lectures and computer demonstrations covering the theory and practice of various structural equation modeling techniques. Afternoons will include hands-on applications of specific data analysis techniques.
Survival analysis
Session 1: Wednesday October 28th | Session 2: Thursday October 29th | Session 3: Friday October 30th
Overview
For event-time data, ordinary regression analysis methods are not suitable. Regression analysis that includes the element of time has two key problems:
An Introduction to RStudio for SAS Users
Session 1: Tuesday May 24th | Session 2: Thursday May 26th
Session 3: Tuesday May 31st | Session 4: Thursday June 2nd
An Introduction to Data Visualization and Display using R Commander
Session 1: Tues February 21st | Session 2: Friday Feb 24th
Session 3: Tuesday February 28th | Session 4: Fri March 3rd
