Discover how sample size neglect impacts statistical conclusions and learn to avoid this cognitive bias studied by renowned experts like Tversky and Kahneman.
Estimating non-linear functions of multinomial probabilities is a common problem in epidemiology. Maximum likelihood estimates of non-linear functions are easily obtained. However, only asymptotic ...
If, however, we know (from our study) that a small sample yielded a large effect, the underlying true effect can be large or small. In other words, inferring a large true effect from an observed small ...
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