Sensitivity of Bayes Inference with Ignorable but Data-Dependent Stopping Rules.
Paul R. Rosenbaum, Donald B. Rubin · Defense Technical Information Center (DTIC) · 1982
It is sometimes argued that Bayesian inference is unaffected by data dependent stopping rules. Although this is formally true for ignorable rules, there is likely to be heightened sensitivity of inference to prior assumptions when using data dependent rules rather than stopping rules that do not depend on the data. This point is illustrated in a simple example. (Author)