Registration & Dates  » 
New York, USA, March 20 – March 22, 2023

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*
*If you are ill, you can transfer the registration
to a later date at no cost.
researcher
Testimonials

"Fantastic course on the appropriate use of statistical concepts and techniques in meta-analysis without getting lost in the math. Very useful introduction to the potential of CMA software to perform various intricate analysis. Well taught and well paced for people with different backgrounds and interest."

Naresh Ramaratan - Navya Network - Los Angeles 2019


"Michael Borenstein is an extremely clear teacher. He explains meta-analyses procedures in a systematic and 'simple' way, meaning that he describes the concepts without complicated words. I got a good overview of how to use CMA in my future work. Thank you for the support to develop more self-efficacy with respect to performing meta-analyses and interpreting the results."

Silvia Titze - University of Graz, Austria

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