Registration & Dates »
New York, USA, March 20 – March 22, 2023
American Management Association
1601 Broadway, 6th Floor
New York, NY 10019 USA
(Entrance on 48th Street)
+1 (212) 444-7342
Workshop Registration - Online:
We accept credit cards & purchase orders online.
Full-time students may register at the reduced fee. After you register, we'll send instructions to e-mail or fax proof of student status. This is required to complete registration.
Rate | Register | |
---|---|---|
General Early Bird Rate: Register by January 23, 2023 |
US$1,595 | Not Available |
Student Early Bird Rate: Register by January 23, 2023 |
US$845 | Not Available |
General Standard Rate: Register after January 23, 2023 |
US$1,895 | Not Available |
Student Standard Rate: Register after January 23, 2023 |
US$995 | Not Available |
Day-1 Only: Register Any Time |
US$495 | Not Available |
Workshop Registration - Mail, Fax, or Phone:
- Workshop Registration by Mail or Fax: Word | PDF
- Workshop Registration by Phone:
+1 (877)-Biostat (Toll Free in USA) or +1 (201) 541-5688
Hotel Reservations:
Meeting Dates and Times:
- Day 1 – March 20, 2023
Coffee – 8:00 AM. Lecture starts – 9:00 AM. Lecture ends – 5:00 PM - 6:00 PM. - Day 2 – March 21, 2023
Coffee – 8:00 AM. Lecture starts – 9:00 AM. Lecture ends – 5:00 PM - 6:00 PM. - Day 3 – March 22, 2023
Coffee – 8:00 AM. Lecture starts – 9:00 AM. Lecture ends – 4:00 PM.
Cancellation Policy:
Full refund minus service fee listed below.
Refund will be made to the original payment method
and account used on the purchase.
Service Fee | |
Cancel by February 20, 2023 | US$100 |
Cancel by March 13, 2023 | US$500 |
Cancel after March 13, 2023 | No Refund* |
to a later date at no cost.
Testimonials
"This course really delivered beyond my expectations. On the one hand, the course explains the science behind Meta-Analysis. Then on the other hand, the course teaches how to use the CMA program to perform the analysis. Dr. Michael Borenstein uses easy to understand examples to teach the principles of Meta-Analysis. The section on heterogeneity was excellent. I appreciate how he uses simple logic to teach these principles."
David R. Rutledge - Global Strategic Solutions - Los Angeles 2019
"Michael clearly explained some of the basic concepts of meta-analysis (e.g. Random vs. fixed effects models; interpreting heterogeneity scores; subgroup analysis) in a way that made these sometimes-confusing issues clear. He also exposed some of the myths and mistakes that are common in many published Meta-Analysis."
Christina Pallitto - WHO