Bio-Statistics, Analyzing data for Pharmaceutical companies and Medical research
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Shlomit Gan Msc.
Bsc. Math + Statistics (Hebrew University, Jerusalem)
Msc. Math + Computer Sciences (Beer-Sheva University)
Taught Statistics & performed Statistical Analysis in Technion Institute, Haifa.

Alex Gan Eng.
Bsc. Civil Engineering , with honors (Technion Institute, Haifa )
Consultant in technological & management projects. Computer aided solutions.

Gan Statistics
"Gan Statistics" was founded in 1995 and has performed hundreds of statistical analysis in a wide variety of scientific fields.

Performing statistical analysis for the medical world became our main expertise. The lack of a computerized survival rate test (Kaplan-Meier ) in all statistical software at that time was a weakness that we over came by writing our own software, enabling us to provide this test to our clients. Today this test is part of the "Stata" software which we use as our prime statistical tool.

In all those years we are concentrating in the field of Bio-Statistics. Analyzing data for pharmaceutical companies and for researches in the medical field (followed by many publications).

The complexity & magnitude of the data made us come to the conclusion that we must provide our clients with the assistance of a computerized system (eCRF). Evaluating the possibilities on the market & learning the problems of the eCRF which are used by the pharmaceutical companies convinced us to develop our own eCRF.


  Our office is located at:
Haruv 15 , Timrat (Izrael Vally, Israel)

Phone: +972 (0)4-6545999
Fax : +972 (0)4-6441555
Mobile: +972 (0)52-2617999
Skype: alexgan


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  Our Services:

Pre study preparations

 
  We believe that preparing the study in advance will assure collecting the relevant data in the proper format will enable a good statistical analysis which will answer the study points in the most effective way  
   
 
 
 
   
  The study preparations include the following steps:
• Understanding the study goals
• Assisting with the proper writing of the study protocol & CRF
• Preparing sample size estimation.
• Planning of the statistical analysis
• Consulting on the study structure (who does what & when)
• Finalizing working procedures with all participants of the study
• Designing the Database
• Creating a eCRF which is tailored to the study & the CRF
 
   
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