Administrative problems such as computer malfunction and power outage occasionally lead to missing item scores, and hence to incomplete data, on credentialing tests such as the United States Medical Licensing examination. Feinberg compared four approaches for reporting pass-fail decisions to the examinees with incomplete data on credentialing tests. The goal of this brief paper is to demonstrate that the classical method of logistic regression may be preferable to the approaches suggested by Feinberg in some cases including the case when the credentialing test is high-stakes.