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The 4Kscore combines total, free and intact PSA together with human kallikrein 2. [46] It is used to try to determine the risk of a Gleason score greater than 6. [46] The Prostate Health Index (PHI) is a PSA-based blood test for early prostate cancer screening. It may be used to determine when a biopsy is needed.
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The startup company was founded by Dan Gilbert, Josh Luber, [7] Greg Schwartz, and Chris Kaufman in 2015, [8] and launched in February 2016. [9] [10] Luber had previously founded StockX's predecessor website about rare sneakers called Campless (established during 2012–2013), [11] [12] a site which was featured in Josh Luber's TED Talk on the sneaker market. [13]
In practice, testing measures are never perfectly consistent. Theories of test reliability have been developed to estimate the effects of inconsistency on the accuracy of measurement. The basic starting point for almost all theories of test reliability is the idea that test scores reflect the influence of two sorts of factors: [7]
In statistics, intra-rater reliability is the degree of agreement among repeated administrations of a diagnostic test performed by a single rater. [ 1 ] [ 2 ] Intra-rater reliability and inter-rater reliability are aspects of test validity .
The name of this formula stems from the fact that is the twentieth formula discussed in Kuder and Richardson's seminal paper on test reliability. [1] It is a special case of Cronbach's α, computed for dichotomous scores. [2] [3] It is often claimed that a high KR-20 coefficient (e.g., > 0.90) indicates a homogeneous test. However, like ...
The Spearman–Brown prediction formula, also known as the Spearman–Brown prophecy formula, is a formula relating psychometric reliability to test length and used by psychometricians to predict the reliability of a test after changing the test length. [1] The method was published independently by Spearman (1910) and Brown (1910). [2] [3]
When the failure rate is decreasing the coefficient of variation is ⩾ 1, and when the failure rate is increasing the coefficient of variation is ⩽ 1. [ clarification needed ] [ 15 ] Note that this result only holds when the failure rate is defined for all t ⩾ 0 [ 16 ] and that the converse result (coefficient of variation determining ...