Public Health Policy and Administration
Bootstrapping is a statistical method used to estimate the sampling distribution of a statistic by resampling with replacement from the original data. This technique is especially useful when the sample size is small or when the underlying distribution is unknown, allowing researchers to make inferences about population parameters without relying on traditional assumptions. By generating numerous simulated samples, bootstrapping provides a way to assess the stability and variability of estimates, making it a powerful tool in statistical inference and hypothesis testing.
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