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
"It was a very informative seminar. I feel much more confident in doing meta-analysis now. Thank you."
Karine Dubois-Comtois - University of Quebec at Trois-Rivieres
"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