Computation of decision levels from differentiated logistic regression probability curves

Annals of Clinical and Laboratory Science

Volumn 36, Issue 2, 2006, Pages 194-200

  DeBari, Vincent A ^a  

^a SETON HALL UNIVERSITY   (United States)

Author keywords

Biostatistics; Epidemiology; Logistic regression; Medical decision making; Receiver operator characteristic curves

Indexed keywords

ANALYTICAL PARAMETERS; ARTICLE; BIOSTATISTICS; CASE CONTROL STUDY; CHRONIC OBSTRUCTIVE LUNG DISEASE; EPIDEMIOLOGY; LABORATORY; LOGISTIC REGRESSION ANALYSIS; MAGNESIUM BLOOD LEVEL; MEDICAL DECISION MAKING; OUTCOME ASSESSMENT; OUTCOME PROBABILITY; PREDICTOR VARIABLE; PRIORITY JOURNAL; PROBABILITY; RECEIVER OPERATING CHARACTERISTIC; REFERENCE VALUE; SENSITIVITY ANALYSIS; SIMULATION; SPECIFICITY ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE;

DECISION SUPPORT TECHNIQUES; LOGISTIC MODELS; PREDICTIVE VALUE OF TESTS; REFERENCE VALUES; ROC CURVE; SENSITIVITY AND SPECIFICITY;

EID: 33646507909     PISSN: 00917370     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (21)

1. McFall RM, Treat TA. Quantifying the information value of clinical assessments with signal detection theory. Annu Rev Psychol 1999;50:215-241.
2. Zweig MH, Campbell G. Receiver-operating characteristic (ROC) plots: A fundamental evaluation tool in clinical medicine. Clin Chem 1993;39:561-577.
3. Krouwer JS. Cumulative distribution analysis graphs-an alternative to ROC curves. Clin Chem 1987;33:2305-2306.
4. Janes H, Pepe M, Kooperberg C, Newcomb P. Identifying target populations for screening or not screening using logistic regression. Statist Med 2005;24:1321-1338.
5. Pezzullo JC. Logistic Regression, http://members.aol. com/john71/logistic.html (rev. 2001).
6. Hosmer Jr DW, Lemeshow S. Applied Logistic Regression, Wiley, New York, 1989; pp 135-145.
7. Aziz, HS, Blamoun AI, Shubair MK, Ismail MMF, DeBari VA, Khan MA. Serum magnesium levels and acute exacerbation of chronic obstructive pulmonary disease: A retrospective study. Ann Clin Lab Sci 2005; 35:423-427.
8. Pearson ES, D'Agostino RB, Bowman LR. Tests for departure from normality: Comparison of powers. Biometrika 1977;64:231-246.
9. Shapiro S, Wilk MB. An analysis of variance test for normality. Biometrika 1965;52:591-611.
10. Tu JV. Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes. J Clin Epidemiol 1996;49:1225-1231.
11. Hastie T, Tibshirani R, Buja A. Flexible discriminant analysis by optimal scoring. J Am Stat Assoc 1994; 89:1255-1271.
12. Ture M, Kurt I, Yavuz E, Kurum T. Hipertensionun tahmini icin coklu tahmin modellerinin karsilastirilmasi si lojistik regresyon ve esnek ayirma analizieri. Anadolu Kardiyoloji Dergisi 2005;5:24-28 [Turkish].
13. Rasouli M, Okhovatian A, Enderami A. Serum protein profile as an indicator of malignancy: multivariate logistic regression and ROC analysis. Clin Chem Lab Med 2005;43:913-918.
14. Lumbreras-Lacarra, B, Ramos-Rincon J, Hernandez-Aguado I. Methodology in diagnostic laboratory test research in Clinical Chemistry and Clinical Chemistry and Laboratory Medicine. Clin Chem 2004;50:530-536.
15. Obuchowski NA, Lieber ML, Wians FH Jr. ROC curves in Clinical Chemistry. Uses, misuses and possible solutions. Clin Chem 2004;50:1118-1125.
16. Jannsens ACJW, Deng Y, Borsboom GJJM, Eijkemans MJC, Habbema JDF, Steyerberg EW. A new logistic regression approach for the evaluation of diagnostic test results. Med Decis Making 2005;25:168-177.
17. Qin J, Zhang B. Using logistic regression procedures for estimating receiver operating characteristic curves. Biometrika 2003;90:585-596.
18. Needleman I, Moles DR. A guide to decision making in evidence-based diagnostics. Periodontology 2005;39: 164-177.
19. Lux CJ, Conradt C, Steilzig A, Komposch G. Evaluation of the predictive impact of cephalometric variables: logistic regression and ROC curves. J Orofac Orthop 1999:95-107.
20. Obuchowski NA. An ROC-type measure of diagnostic accuracy when the gold standard is continuous-scale. Statist Med 2005; in press (available online, 15 Nov 2005).
21. Schultz EK. Multivariate receiver-operating characteristic curve analysis: Prostate screening as an example. Clin Chem 1995;41:1248-1255.