https://wiki.isikhnas.com/index.php?action=history&feed=atom&title=Translations%3AAdvanced_Field_Epi%3AManual_2_-_Diagnostic_Tests%2F222%2FenTranslations:Advanced Field Epi:Manual 2 - Diagnostic Tests/222/en - Revision history2026-08-19T19:26:19ZRevision history for this page on the wikiMediaWiki 1.31.16https://wiki.isikhnas.com/index.php?title=Translations:Advanced_Field_Epi:Manual_2_-_Diagnostic_Tests/222/en&diff=36689&oldid=prevFuzzyBot: Importing a new version from external source2015-05-10T07:06:46Z<p>Importing a new version from external source</p>
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<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 07.06</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==== Bayesian estimation ====</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #222; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==== Bayesian estimation ====</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>Bayesian methods have been developed that allow the estimation of sensitivity and specificity of one or two tests that are compared in single or multiple populations ([#<del class="diffchange diffchange-inline">_ENREF_11 </del>Joseph et al., 1995]<del class="diffchange diffchange-inline"><nowiki></del>; <del class="diffchange diffchange-inline"></nowiki></del>[#<del class="diffchange diffchange-inline">_ENREF_4 Enøe </del>et al., 2000]<del class="diffchange diffchange-inline"><nowiki></del>; <del class="diffchange diffchange-inline"></nowiki></del>[#<del class="diffchange diffchange-inline">_ENREF_10 </del>Johnson et al., 2001]<del class="diffchange diffchange-inline"><nowiki></del>; <del class="diffchange diffchange-inline"></nowiki></del>[#<del class="diffchange diffchange-inline">_ENREF_2 </del>Branscum et al., 2005]). These methods allow incorporation of any prior knowledge on the likely sensitivity and specificity of the test(s) and of disease prevalence as probability distributions, expressing any uncertainty about the assumed prior values. Methods are also available for evaluation of correlated tests, but these require inclusion of additional tests and/or populations to ensure that the Bayesian model works properly ([#<del class="diffchange diffchange-inline">_ENREF_7 </del>Georgiadis et al., 2003]).</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>Bayesian methods have been developed that allow the estimation of sensitivity and specificity of one or two tests that are compared in single or multiple populations ([#<ins class="diffchange diffchange-inline">11 </ins>Joseph et al., 1995]; [#<ins class="diffchange diffchange-inline">4 Enøe </ins>et al., 2000]; [#<ins class="diffchange diffchange-inline">10 </ins>Johnson et al., 2001]; [#<ins class="diffchange diffchange-inline">2 </ins>Branscum et al., 2005]). These methods allow incorporation of any prior knowledge on the likely sensitivity and specificity of the test(s) and of disease prevalence as probability distributions, expressing any uncertainty about the assumed prior values. Methods are also available for evaluation of correlated tests, but these require inclusion of additional tests and/or populations to ensure that the Bayesian model works properly ([#<ins class="diffchange diffchange-inline">7 </ins>Georgiadis et al., 2003]).</div></td></tr>
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<p><b>Halaman baru</b></p><div>==== Bayesian estimation ====<br />
Bayesian methods have been developed that allow the estimation of sensitivity and specificity of one or two tests that are compared in single or multiple populations ([#_ENREF_11 Joseph et al., 1995]<nowiki>; </nowiki>[#_ENREF_4 Enøe et al., 2000]<nowiki>; </nowiki>[#_ENREF_10 Johnson et al., 2001]<nowiki>; </nowiki>[#_ENREF_2 Branscum et al., 2005]). These methods allow incorporation of any prior knowledge on the likely sensitivity and specificity of the test(s) and of disease prevalence as probability distributions, expressing any uncertainty about the assumed prior values. Methods are also available for evaluation of correlated tests, but these require inclusion of additional tests and/or populations to ensure that the Bayesian model works properly ([#_ENREF_7 Georgiadis et al., 2003]).</div>FuzzyBot