Rebhi has a wealth of experience in Bayesian Methods, Experimental Design, Tree Gate-keeping Strategies, Multiple Comparison procedures, Non-inferiority trials, Mixed models, and Dose-Response Methods.

Rebhi has great knowledge of CDISC, ADaM, and STDM Standards.

Rebhi can lead people to achieve project outcomes and objective.

Rebhi focuses in establishing that teaching statistics can be beneficial and useful for all researchers who collect data and information.

Rebhi has the vision to teach people decision-making that is based on data, information and science.

 

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