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."
"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."
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.
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).
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).
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.
Session 1: Wednesday October 28th | Session 2: Thursday October 29th | Session 3: Friday October 30th
For event-time data, ordinary regression analysis methods are not suitable. Regression analysis that includes the element of time has two key problems:
Session 1: Tuesday May 24th | Session 2: Thursday May 26th
Session 3: Tuesday May 31st | Session 4: Thursday June 2nd
Session 1: Tues February 21st | Session 2: Friday Feb 24th
Session 3: Tuesday February 28th | Session 4: Fri March 3rd
Session 1: Tues March 7 | Session 2: Friday March 10
Session 3: Tues March 14 | Session 4: Friday March 17
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