Interpreting the resulting chi-square and p-value require careful consideration, as a non-significant p-value does not prove that the assumption is fulfilled while at the same time even small deviations from this assumption (which may not relevantly affect the model) may lead to nominally significant p-values due to the large sample size.
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A comprehensive review of methodologies and application to use the real-world data and analytics platform TriNetX.
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