Registration & Dates  » 
London, UK, February 20 – February 22, 2023

Workshop Address:
The workshop will take place at the hotel.

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:

We have reserved a block of rooms at the price of £162/night. The hotel is holding a limited number of rooms at this rate. Please book early to avoid disappointment.

Meeting Dates and Times:

  • Day 1 – February 20, 2023
    Coffee – 8:00 AM. Lecture starts – 9:00 AM. Lecture ends – 5:00 PM - 6:00 PM.
  • Day 2 – February 21, 2023
    Coffee – 8:00 AM. Lecture starts – 9:00 AM. Lecture ends – 5:00 PM - 6:00 PM.
  • Day 3 – February 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 January 20, 2023 US$100
Cancel by February 13, 2023 US$500
Cancel after February 13, 2023 No Refund*
*If you are ill, you can transfer the registration
to a later date at no cost.
researcher
Testimonials

"Great program and a great workshop. Combined content about meta-analysis with hands-on application and examples. Dr. Borenstein makes complex and nuanced analysis easily understandable."

Kari Adamsons - University of Connecticut


"Thank you. This course has helped me understand the ins and outs, assumptions and weakness of the meta-analyses I read and how I can improve current protocol that I've been working up!"

Katie McGill - University of Newcastle - Sydney 2020

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