Judicious Use of Multiple Hypothesis Tests

Judicious use of multiple hypothesis tests

Optimal Sequential Multiple Hypothesis Tests

This work deals with a general problem of testing multiple hypotheses about the distribution of a discrete-time stochastic process. Both the Bayesian and the conditional settings are considered. The structure of optimal sequential tests is characterized.

Diagnostic tests for Alzheimer disease: Judicious use can be helpful in clinical practice.

T he evaluation of a patient with cognitive impairment or dementia is part of many neurologists’ daily practice. Once it has been established that a patient has mild cognitive impairment (MCI) or dementia, our job is to determine the etiology. Why is this important? Although specific pharmacologic treatment options are still limited at present for most dementias, there are a growing number of c...

The Joint Null Criterion for Multiple Hypothesis Tests

Simultaneously performing many hypothesis tests is a problem commonly encountered in high-dimensional biology. In this setting, a large set of p-values is calculated from many related features measured simultaneously. Classical statistics provides a criterion for defining what a “correct” p-value is when performing a single hypothesis test. We show here that even when each p-value is marginally...

the washback effect of discretepoint vs. integrative tests on the retention of content in knowledge tests

در این پایان نامه تاثیر دو نوع تست جزیی نگر و کلی نگر بر به یادسپاری محتوا ارزیابی شده که نتایج نشان دهندهکارایی تستهای کلی نگر بیشتر از سایر آزمونها است