Search results
Results from the WOW.Com Content Network
In statistical hypothesis testing, a type I error, or a false positive, is the rejection of the null hypothesis when it is actually true. A type II error, or a false negative, is the failure to reject a null hypothesis that is actually false. [1] Type I error: an innocent person may be convicted. Type II error: a guilty person may be not convicted.
The false positive rate (FPR) is the proportion of all negatives that still yield positive test outcomes, i.e., the conditional probability of a positive test result given an event that was not present. The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate.
The guaiac test can often be false-positive which is a positive test result when there is in fact no source of bleeding. This is particularly common if the recommended dietary preparation is not followed, as the heme in red meat or the peroxidase or catalase activity in vegetables, especially if uncooked, can cause analytical false positives.
On the other hand, a PCR test can rarely be a false positive, says Dr. Watkins, but “in an asymptomatic person without known close contact with an infectious individual, especially in a low ...
After graduating from a school of nursing, one takes the NCLEX exam to receive a nursing license. A nursing license gives an individual the permission to practice nursing, granted by the state where they met the requirements. NCLEX examinations are developed and owned by the National Council of State Boards of Nursing, Inc. (NCSBN). The NCSBN ...
Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!
A nursing diagnosis may be part of the nursing process and is a clinical judgment about individual, family, or community experiences/responses to actual or potential health problems/life processes. Nursing diagnoses foster the nurse's independent practice (e.g., patient comfort or relief) compared to dependent interventions driven by physician ...
The Confusion Assessment Method (CAM) is a diagnostic tool developed to allow physicians and nurses to identify delirium in the healthcare setting. [1] It was designed to be brief (less than 5 minutes to perform) and based on criteria from the third edition-revision of the Diagnostic and Statistical Manual of Mental Disorders (DSM-III-R).