Meta‐analyzing count events over varying durations using the piecewise Poisson model: The case for poststroke seizures

Meta‐analyzing count data can be challenging when follow‐up time varies across studies. Simply pooling aggregate data over time‐periods would result in biased estimates, which may erroneously inform clinical decision‐making. In this study, we exploit the convolution property of the Poisson distribut...

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