1982
DOI: 10.1016/s0272-2712(18)31007-2
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Application of the Predictive Value Model in the Analysis of Test Effectiveness

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Cited by 64 publications
(38 citation statements)
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“…Though PD is a common neurological disorder, it has a relatively low and age-dependent prevalence in the total population of about 1–2% in elderly people over the age of 60 years 31. In this case, the predictive value of a given diagnostic test is remarkably lower due to the high a priori probability of false positive test results 32. To mitigate this general problem for screening tests, it is helpful to restrict the target population to a smaller group of at-risk individuals for PD, for example to those with a positive family history and with premotor PD symptoms, such as olfactory dysfunction, dysautonomia or mood and sleep disorders 33…”
Section: Discussionmentioning
confidence: 99%
“…Though PD is a common neurological disorder, it has a relatively low and age-dependent prevalence in the total population of about 1–2% in elderly people over the age of 60 years 31. In this case, the predictive value of a given diagnostic test is remarkably lower due to the high a priori probability of false positive test results 32. To mitigate this general problem for screening tests, it is helpful to restrict the target population to a smaller group of at-risk individuals for PD, for example to those with a positive family history and with premotor PD symptoms, such as olfactory dysfunction, dysautonomia or mood and sleep disorders 33…”
Section: Discussionmentioning
confidence: 99%
“…Laboratory involvement in institutional quality management programs is focused on identifying these errors and is mandated by the CAP for accreditation [7]. The CAP's Q-Probes program is designed to help address these issues.…”
Section: Urine Sediment Proficiency Testingmentioning
confidence: 99%
“…29 ''Accuracy'' and ''predictive values'' of clinical tests vary with disease prevalence and are population dependent. Therefore they are not good estimators of test performance 6,7,9,16,27,[29][30][31] and are not discussed here. Positive likelihood ratios (PLRs) and negative likelihood ratios (NLRs) are the ultimate indexes of validity which offer the clinician a better method of using the information obtained from a clinical test.…”
Section: Discussionmentioning
confidence: 99%