Translations:Advanced Field Epi:Manual 2 - Diagnostic Tests/138/en: Perbedaan revisi

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== Estimation of true prevalence from apparent prevalence ==
 
== Estimation of true prevalence from apparent prevalence ==
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When we apply a test in a population, the proportion of positive results observed is the apparent prevalence. However, depending on test performance, apparent prevalence may not be a good indicator of the true level of disease in the population (the true prevalence). However, if we can estimate the sensitivity and specificity of the test, we can also estimate the true prevalence from the apparent (test-positive) prevalence (AP) using the formula ([#_ENREF_16 Rogan and Gladen, 1978]):
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When we apply a test in a population, the proportion of positive results observed is the apparent prevalence. However, depending on test performance, apparent prevalence may not be a good indicator of the true level of disease in the population (the true prevalence). However, if we can estimate the sensitivity and specificity of the test, we can also estimate the true prevalence from the apparent (test-positive) prevalence (AP) using the formula ([#16 Rogan and Gladen, 1978]):

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== Estimation of true prevalence from apparent prevalence ==
When we apply a test in a population, the proportion of positive results observed is the apparent prevalence. However, depending on test performance, apparent prevalence may not be a good indicator of the true level of disease in the population (the true prevalence). However, if we can estimate the sensitivity and specificity of the test, we can also estimate the true prevalence from the apparent (test-positive) prevalence (AP) using the formula ([#16 Rogan and Gladen, 1978]):
Terjemahan== Estimation of true prevalence from apparent prevalence ==
When we apply a test in a population, the proportion of positive results observed is the apparent prevalence. However, depending on test performance, apparent prevalence may not be a good indicator of the true level of disease in the population (the true prevalence). However, if we can estimate the sensitivity and specificity of the test, we can also estimate the true prevalence from the apparent (test-positive) prevalence (AP) using the formula ([#16 Rogan and Gladen, 1978]):

Estimation of true prevalence from apparent prevalence

When we apply a test in a population, the proportion of positive results observed is the apparent prevalence. However, depending on test performance, apparent prevalence may not be a good indicator of the true level of disease in the population (the true prevalence). However, if we can estimate the sensitivity and specificity of the test, we can also estimate the true prevalence from the apparent (test-positive) prevalence (AP) using the formula ([#16 Rogan and Gladen, 1978]):

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