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THE PHARMA REVIEW (MARCH APRIL 2016)

Finding the Hidden Message in Your Data

Nassim Azzi, MS, MBA

Introduction: Look at any paper or presentation reporting, for example, the development or use of a patient reported outcome (PRO) measure and, without doubt, there will be an array of statistical significance levels, standard deviations, standard errors and correlation coefficients in an attempt to help us understand what the data is telling us. But, is the application of classic statistical methods really telling us what we want to know? This is of particular relevance due to the ever-increasing and overwhelming quantity and diversity of health electronic data that has to be managed and analyzed, which with the traditional data management tools and analytics is very difficult. This poses three questions: 

 

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