Registration & Dates »
London, UK, February 20 – February 22, 2023
Hilton London Kensington
179-199 Holland Park Avenue
London W11 4UL
United Kingdom
+44 207-603-3355
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.
- Hotel Reservations
- Hotel Reservations by Phone: +44 207-603-3355
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* |
to a later date at no cost.
![researcher](/image/london.jpg)
Testimonials
"This session was a great experience for understanding the theories behind the program. Technical, but accessible even for non-stats people."
Phil Gregory, PharmD - Creighton University
"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