https://wiki.isikhnas.com/index.php?action=history&feed=atom&title=Translations%3AAdvanced_Field_Epi%3AManual_2_-_Diagnostic_Tests%2F125%2FenTranslations:Advanced Field Epi:Manual 2 - Diagnostic Tests/125/en - Revision history2026-08-19T09:55:38ZRevision history for this page on the wikiMediaWiki 1.31.16https://wiki.isikhnas.com/index.php?title=Translations:Advanced_Field_Epi:Manual_2_-_Diagnostic_Tests/125/en&diff=36991&oldid=prevFuzzyBot: Importing a new version from external source2015-05-10T07:44:14Z<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 07.44</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1" >Baris 1:</td>
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<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>Conversely, if two tests disagree, one test is likely to be better than the other although there may no way to tell which is better! The exception to this is where both tests have close to 100% specificity (i.e. no or few false positives). In this case the test with the larger number of positive results is likely to be more sensitive. <del class="diffchange diffchange-inline">McNemar’s </del>Chi-squared test for paired data can also be used to test for significant differences between the discordant cells (b & c).</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>Conversely, if two tests disagree, one test is likely to be better than the other although there may no way to tell which is better! The exception to this is where both tests have close to 100% specificity (i.e. no or few false positives). In this case the test with the larger number of positive results is likely to be more sensitive. <ins class="diffchange diffchange-inline">McNemar's </ins>Chi-squared test for paired data can also be used to test for significant differences between the discordant cells (b & c).</div></td></tr>
</table>FuzzyBothttps://wiki.isikhnas.com/index.php?title=Translations:Advanced_Field_Epi:Manual_2_-_Diagnostic_Tests/125/en&diff=7552&oldid=prevFuzzyBot: Importing a new version from external source2014-08-25T03:28:21Z<p>Importing a new version from external source</p>
<p><b>Halaman baru</b></p><div>Conversely, if two tests disagree, one test is likely to be better than the other although there may no way to tell which is better! The exception to this is where both tests have close to 100% specificity (i.e. no or few false positives). In this case the test with the larger number of positive results is likely to be more sensitive. McNemar’s Chi-squared test for paired data can also be used to test for significant differences between the discordant cells (b & c).</div>FuzzyBot