NURHAMIDI, 090013955M (2002) ANALISIS RECEIVER OPERATING CHARACTERISTIC (ROC) DALAM PENILAIAN STATUS GIZI (Aplikasi pada data JPS Sidang Kesehatan Provinsi Jawa Timur). Thesis thesis, UNIVERSITAS AIRLANGGA.
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Abstract
ABSTRACT Receiver Operating Characteristic (ROC) curve analysis is popular tool in medical and imaging research. It conveniently displays diagnostics accuracy expressed in term of sensitivity (or true positive rate) against (1- specificity) (or false positive rate) at all possible threshold values. An ROC plot is obtained by graphing sensitivity values against their equivalent 1- specificity values for observed threshold. The resulting curve ilustrated the trade-off between sensitivity and specificity. An important problem in ROC analysis concerns the comparison of two (or more) diagnostic tests. In diagnostic accuracy study, if such a test is repeated on different occasions, or if different test are administrated to the same set of subjects, then the test results are typically correlated. The purpose of the study was to evaluate the performance og diagnostic tests of nutritional anthropometrics by using reference standard recommended by WHO-NCHS in three forms of presentation ; percent median, percentile, z-score (i.e. index BB/U, PB/U, BB/PB) using analysis ROC under in varying conditions simulation technique. Result indicated that percent median had the largest area under charcateristic (0.992), and had the smallest probability value (asymptotic Sig' = 0.000) a < 0.05, then with sensitivity had the highest and positive predictive value and likelihood test ratio, too. This value was followed by percentile with specificity also had the highest and negative predictive value. The conclusion of this study was that to take the percent median for detection malnutrition and then the percentile for detection nutrition well.
| Item Type: | Thesis (Thesis) | ||||||
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| Additional Information: | TKM 06/03 Nur a | ||||||
| Uncontrolled Keywords: | Receiver Operating Characteristic (ROC) curve, sensitivity, specificity, predictive value, likelihood ratio test, diagnostic tests nutritional antropometrics. | ||||||
| Subjects: | Q Science > QA Mathematics > QA299.6-433 Analysis R Medicine > RA Public aspects of medicine > RA1-1270 Public aspects of medicine > RA421-790.95 Public health. Hygiene. Preventive medicine > RA773-788 Personal health and hygiene |
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| Divisions: | 09. Sekolah Pasca Sarjana | ||||||
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| Depositing User: | Nn Shela Erlangga Putri | ||||||
| Date Deposited: | 2016 | ||||||
| Last Modified: | 02 Jul 2017 21:02 | ||||||
| URI: | http://repository.unair.ac.id/id/eprint/35745 | ||||||
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