Registration & Dates »
Los Angeles, USA, January 23 – January 25, 2023
Hilton
Los Angeles - Culver City
6161 West Centinela Avenue
Culver City, CA 90230-6306
+1 (310) 649-1776
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 November 30, 2022 |
US$1,595 | Not Available |
| Student Early Bird Rate: Register by November 30, 2022 |
US$845 | Not Available |
| General Standard Rate: Register after November 30, 2022 |
US$1,895 | Not Available |
| Student Standard Rate: Register after November 30, 2022 |
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 US$189/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: +1 (310) 649-1776
Meeting Dates and Times:
- Day 1 – January 23, 2023
Coffee – 8:00 AM. Lecture starts – 9:00 AM. Lecture ends – 5:00 PM - 6:00 PM. - Day 2 – January 24, 2023
Coffee – 8:00 AM. Lecture starts – 9:00 AM. Lecture ends – 5:00 PM - 6:00 PM. - Day 3 – January 25, 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 December 23, 2022 | US$100 |
| Cancel by January 16, 2023 | US$500 |
| Cancel after January 16, 2023 | No Refund* |
to a later date at no cost.
Testimonials
"I am pursuing clinical research and this course has greatly enhanced my computational ability. It has also heightened my ability to produce a more convincing and contextual project. "
Stephen Nuyit Mbah, MD - Healthcare
"A very clear, usable way to approach meta-analysis. As a non-statistician, I found this course very understandable and applicable to my work in systematic reviews. Dr. Borenstein has a gift of being able to clearly explain difficult concepts. This is a fantastic course!"
Dru Riddle, PhD, CRNA - Texas Christian University, Fort Worth, Texas USA, School of Nurse Anesthesia