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In-person meta-analysis workshops are suspended for the duration of the public-health crisis.

 
 
Registration & Dates  » 
New York, USA, March 30 – April 1, 2020

Hotel:
No recommended hotel. 		Workshop Address:
TKP Training Center
109 West 39th Street
New York, NY 10018
+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 30, 2020		 US$1,495      Not Available     
Student Early Bird Rate:
Register by January 30, 2020		 US$745      Not Available     
General Standard Rate:
Register after January 30, 2020		 US$1,795      Not Available     
Student Standard Rate:
Register after January 30, 2020		 US$895      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

Meeting Dates and Times:

  • Day 1 – March 30, 2020
    Coffee – 8:00 AM. Lecture starts – 9:00 AM. Lecture ends – 5:00 PM - 6:00 PM.
  • Day 2 – March 31, 2020
    Coffee – 8:00 AM. Lecture starts – 9:00 AM. Lecture ends – 5:00 PM - 6:00 PM.
  • Day 3 – April 1, 2020
    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 March 1, 2020 US$100
Cancel by March 23, 2020 US$400
Cancel after March 23, 2020 No Refund
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Testimonials

We perform a variety of meta-analyses for academic, regulatory, and international clients. Each presents a different set of challenges regarding study design and outcome measurement. We have found CMA to be invaluable in this work. The ability of the software to capture a variety of data elements (study design, multiple outcomes, covariates/confounders) and present details of computations is important in the credibility of our work. The ease of use and ability to produce graphics in a variety of formats aids in preparation of the report. In many instances, we are required to replicate the results of CMA in another package (e.g., SAS). We have always found the support staff at CMA very helpful in these replications and the results of CMA have been replicated in every instance. CMA is a great tool in the scientific credibility of our meta-analytic studies.

Donna F. Stroup, PhD, MSc, Data for Solutions, Inc.

  
 
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