Translations:Advanced Field Epi:Manual 2 - Diagnostic Tests/134/en: Perbedaan revisi

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<nowiki>For these tests, kappa is 0.64, suggesting moderate-substantial agreement. However, McNemar’s chi-squared is 22.88, with 1 degree of freedom and P < 0.001. This means that the discordant cells (37 and 5) are significantly different. From the data available it is not possible to say which test is better – the additional positives on Test 1 could be either true or false positives, depending on test specificity.</nowiki>
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For these tests, kappa is 0.64, suggesting moderate-substantial agreement. However, McNemar’s chi-squared is 22.88, with 1 degree of freedom and P < 0.001. This means that the discordant cells (37 and 5) are significantly different. From the data available it is not possible to say which test is better - the additional positives on Test 1 could be either true or false positives, depending on test specificity.

Revisi terkini pada 10 Mei 2015 14.36

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For these tests, kappa is 0.64, suggesting moderate-substantial agreement. However, McNemar’s chi-squared is 22.88, with 1 degree of freedom and P < 0.001. This means that the discordant cells (37 and 5) are significantly different. From the data available it is not possible to say which test is better - the additional positives on Test 1 could be either true or false positives, depending on test specificity.
TerjemahanFor these tests, kappa is 0.64, suggesting moderate-substantial agreement. However, McNemar’s chi-squared is 22.88, with 1 degree of freedom and P < 0.001. This means that the discordant cells (37 and 5) are significantly different. From the data available it is not possible to say which test is better - the additional positives on Test 1 could be either true or false positives, depending on test specificity.

For these tests, kappa is 0.64, suggesting moderate-substantial agreement. However, McNemar’s chi-squared is 22.88, with 1 degree of freedom and P < 0.001. This means that the discordant cells (37 and 5) are significantly different. From the data available it is not possible to say which test is better - the additional positives on Test 1 could be either true or false positives, depending on test specificity.

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