What are the Theoretical and statistical approaches in NMA?

Either a frequentist statistical paradigm or a Bayesian statistical paradigm can be used to perform an NMA.

These two frameworks should produce comparable results when the sample size is suitable, even though the fundamental ideas behind their statistical approaches are different.

The main distinction between these methods is whether or not past information is taken into account while building the model.

Frequentist theory techniques estimate population parameters by endlessly repeating the present data and maximizing its probability function under a statistical model without taking into account previously known information.

According to Bayesian techniques, the population parameters of interest should have a posterior distribution that is influenced by prior information.

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