A critical discussion of the common statistical methods applied to the medical field which is more or less based on interventions. The content includs defining a concrete research question, becoming familiar with the commonly used statistical parameters and the presentation of your data. Further, the most commonly used statistical models are covered. Causal relationships are incluced and common misbeliefs revealed.
The access to real world data enables Iterata to develop application to handle big data. One part of this approach is to make data searchable with Search Profiles, identifying patterns with machine learning and apply them on real world problems. All methods are not just based on tailored data but applied on real patient data.
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