Visual function, especially visual fields, is a vital parameter but is prone to testing variability and generally can only determine whether there is disease progression not resolution.
Because these methods require a large number of statistical tests and their results are often corrected by large permutation tests, they are prone to multiple testing errors and incur significant computational burden.
Some laboratories have addressed the risk of false positives by monitoring the ordering of tests that are prone to misordering, such as certain thyroid tests, and some have developed ways to detect inappropriate repetition of test orders, usually associated with standing orders.
However despite their simplicity, they are prone to PCR inhibitors, some tests require post amplification procedures that increases the turn-around time and some are limited by the DNA quantities in the starting material [ 9, 10].
However, sulfur-based tests are prone to oxidation during storage, making them impractical for environmental testing.
Unlike conventional simple shear tests, which are prone to incipient cracking at the free edges, this test uses radially continuous specimens, as firstly introduced by Marciniak and Kołodziejski (1972).
Insights into the extent to which culture is falsely negative can be gained using molecular tests with a higher predicted diagnostic sensitivity, although both culture and molecular tests are prone to reduced sensitivity from factors such as inadequate sampling, the intermittent presence or low number of organisms in specimens such as blood, and prior administration of antimicrobial therapy [1].
Accurate systems are slow, bulky and expensive, while the quick tests are prone to "false positives," finding danger where none exists.
The value-added formulas — which supposedly can factor in all of the outside variables that might affect how well a student performs on a test — are prone to so much error as to make them unreliable, according to mathematicians and other assessment experts who have warned against using these models.
These studies can only be applied to add-on tests and are prone to bias, foremost because clinicians may not use the same caution when defining pre-test management plans, for example the intent to perform surgery, as they do in real-life practice because they know these plans can be revised once the test results are available.
However, this result should be interpreted with caution because subgroup analyses are prone to chance findings due to multiple testing, or alternatively "regression to the mean" may have occurred.
