https://wiki.isikhnas.com/index.php?action=history&feed=atom&title=Translations%3AAdvanced_Field_Epi%3AManual_2_-_Diagnostic_Tests%2F199%2Fen 2026-08-19T10:42:50Z Revision history for this page on the wiki MediaWiki 1.31.16 https://wiki.isikhnas.com/index.php?title=Translations:Advanced_Field_Epi:Manual_2_-_Diagnostic_Tests/199/en&diff=36877&oldid=prev 2015-05-10T07:28:05Z

<p>Importing a new version from external source</p> <table class="diff diff-contentalign-left" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="id"> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">← Revisi sebelumnya</td> <td colspan="2" style="background-color: #fff; color: #222; text-align: center;">Revisi per 10 Mei 2015 07.28</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1" >Baris 1:</td> <td colspan="2" class="diff-lineno">Baris 1:</td></tr> <tr><td class='diff-marker'>−</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>=== Demonstrate freedom <del class="diffchange diffchange-inline">or </del>detecting disease? ===</div></td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>=== Demonstrate freedom <ins class="diffchange diffchange-inline">of </ins>detecting disease? ===</div></td></tr> <tr><td class='diff-marker'>−</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>It is impossible to prove that a population is free from a particular disease without testing every individual with a perfect test. However, demonstrating <del class="diffchange diffchange-inline">“freedom” </del>from disease in a population is essentially the same as sampling to provide a high level of confidence of detecting disease at specified (design) prevalence. If we <del class="diffchange diffchange-inline">don’t </del>detect disease, then we can state that we have the appropriate level of confidence that (if the disease is present) it is at prevalence lower than the ''design prevalence''. Provided we have selected appropriate design prevalence, it can then be argued that if the disease were present it would more than likely be at a higher level than the design prevalence, and therefore we can be confident that the population is probably free of the disease.</div></td><td class='diff-marker'>+</td><td style="color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>It is impossible to prove that a population is free from a particular disease without testing every individual with a perfect test. However, demonstrating <ins class="diffchange diffchange-inline">&quot;freedom&quot; </ins>from disease in a population is essentially the same as sampling to provide a high level of confidence of detecting disease at specified (design) prevalence. If we <ins class="diffchange diffchange-inline">don't </ins>detect disease, then we can state that we have the appropriate level of confidence that (if the disease is present) it is at prevalence lower than the ''design prevalence''. Provided we have selected appropriate design prevalence, it can then be argued that if the disease were present it would more than likely be at a higher level than the design prevalence, and therefore we can be confident that the population is probably free of the disease.</div></td></tr> </table>

FuzzyBot https://wiki.isikhnas.com/index.php?title=Translations:Advanced_Field_Epi:Manual_2_-_Diagnostic_Tests/199/en&diff=8530&oldid=prev 2014-08-25T04:04:29Z

<p>Importing a new version from external source</p> <p><b>Halaman baru</b></p><div>=== Demonstrate freedom or detecting disease? ===<br /> It is impossible to prove that a population is free from a particular disease without testing every individual with a perfect test. However, demonstrating “freedom” from disease in a population is essentially the same as sampling to provide a high level of confidence of detecting disease at specified (design) prevalence. If we don’t detect disease, then we can state that we have the appropriate level of confidence that (if the disease is present) it is at prevalence lower than the ''design prevalence''. Provided we have selected appropriate design prevalence, it can then be argued that if the disease were present it would more than likely be at a higher level than the design prevalence, and therefore we can be confident that the population is probably free of the disease.</div>

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