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This research compares two methods for determining confidence intervals for experiments with low count data.

Determination of confidence limits for experiments with low numbers of counts

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Randomized trial compares Bayesian and classical methods for confidence intervals with low counts, suggesting Bayesian methods are preferable.

This research compares two methods for determining confidence intervals for experiments with low count data.
Comparison of classical and Bayesian methods for Poisson-distributed data.
Focus on scenarios with small counts and background counts.
Tables of confidence limits calculated using the Bayesian method are provided.
Bayesian method preferred for better accuracy in low-count scenarios.
Tables provide quick reference for confidence limits calculated.

Kraft et al. (1991) studied this question.

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Randomized trial compares Bayesian and classical methods for confidence intervals with low counts, suggesting Bayesian methods are preferable.