OA novel nonparametric approach for estimating cut-offs in continuous risk indicators with application to diabetes epidemiology

BMC Medical Research Methodology

Volumn 9, Issue 1, 2009, Pages

  Klotsche, Jens ^a,b   Ferger, Dietmar ^a   Pieper, Lars ^a   Rehm, Jürgen ^a,b,c   Wittchen, Hans Ulrich ^a  

^a DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

^b CENTRE FOR ADDICTION AND MENTAL HEALTH   (Canada)

^c UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ANTHROPOMETRY; ARTICLE; EPIDEMIOLOGICAL DATA; FEMALE; GERMANY; HUMAN; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; MEDICAL RESEARCH; NON INSULIN DEPENDENT DIABETES MELLITUS; PREDICTION; PRIMARY MEDICAL CARE; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; SIMULATION; YOUDEN INDEX; ADOLESCENT; BIOLOGICAL MODEL; METHODOLOGY; MIDDLE AGED; MORPHOMETRICS; NONPARAMETRIC TEST; REGRESSION ANALYSIS; STATISTICAL MODEL; STATISTICS;

ADOLESCENT; ADULT; AGED; BODY WEIGHTS AND MEASURES; DIABETES MELLITUS, TYPE 2; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; MODELS, STATISTICAL; REGRESSION ANALYSIS; RISK ASSESSMENT; ROC CURVE; STATISTICS, NONPARAMETRIC; YOUNG ADULT;

EID: 70350458768     PISSN: None     EISSN: 14712288     Source Type: Journal    
DOI: 10.1186/1471-2288-9-63     Document Type: Article

References (37)

1. International day for the evaluation of abdominal obesity (IDEA) - A study of waist circumference, cardiovascular disease, and diabetes mellitus in 168 000 primary care patients in 63 countries. B Balkau JE Deanfield JP Despres JP Bassand KAA Fox SC Smith P Barter CE Tan L Van Gaal HU Wittchen, et al. Circulation 2007 116 17 1942 1951
2. Accuracy of anthropometric indicators of obesity to predict cardiovascular risk. HJ Schneider H Glaesmer J Klotsche S Bohler H Lehnert AM Zeiher W Marz D Pittrow GK Stalla HU Wittchen, Journal Of Clinical Endocrinology And Metabolism 2007 92 2 589 594
3. Obesity and risk of myocardial infarction: the INTERHEART study. HJ Schneider J Klotsche GK Stalla HU Wittchen, Lancet 2006 367 9516 1052 1052
4. Obesity and the risk of myocardial infarction in 27,000 participants from 52 countries: a case-control study. S Yusuf S Hawken S Ounpuu L Bautista MG Franzosi P Commerford CC Lang Z Rumboldt CL Onen LS Liu, et al. Lancet 2005 366 9497 1640 1649
5. National Institutes of Health: Executive summary. In Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). JAMA 2001 285 19 2486 2497
6. The International Diabetes Federation: The IDF consensus worldwide definition of metabolic syndrome, 2009. http://www.idf.org/metabolic-syndrome
7. Abdominal obesity and the metabolic syndrome: Contribution to global cardiometabolic risk. JP Despres I Lemieux J Bergeron P Pibarot P Mathieu E Larose J Rodes-Cabau OF Bertrand P Poirier, Arteriosclerosis Thrombosis And Vascular Biology 2008 28 6 1039 1049
8. The usefulness of the International Diabetes Federation and the National Cholesterol Education Program's Adult Treatment Panel III definitions of the metabolic syndrome in predicting coronary heart disease in subjects with type 2 diabetes. PC Tong AP Kong WY So X Yang CS Ho RC Ma R Ozaki CC Chow CW Lam JCN Chan, et al. Diabetes Care 2007 30 5 1206 1211
9. Prognostic impact of metabolic syndrome by different definitions in a population with high prevalence of obesity and diabetes - The Strong Heart Study. G de Simone RB Devereux M Chinali LG Best ET Lee JM Galloway HE Resnick Strong Heart Study I, Diabetes Care 2007 30 71851 1856
10. The Meaning and Use of the Area under a Receiver Operating Characteristic (ROC) Curve. JA Hanley BJ McNeil, Radiology 1982 143 29 36
11. Use of relative operating characteristic analysis in epidemiology - A method for dealing with subjective judgement. LS Erdreich ET Lee, American Journal of Epidemiology 1981 114 5 649 662
12. The inconsistency of "optimal" cutpoints obtained using two criteria based on the receiver operating characteristic curve. NJ Perkins EF Schisterman, American Journal Of Epidemiology 2006 163 7 670 675
13. Reconsidering the odds ratio as a measure of 2 × 2 association in a population. HC Kraemer, Statistics In Medicine 2004 23 2 257 270
14. Cardiovascular risk factors in primary care: methods and baseline prevalence rates - the DETECT program. HU Wittchen H Glaesmer W Marz G Stalla H Lehnert AM Zeiher S Silber U Koch S Bohler D Pittrow, et al. Current Medical Research And Opinion 2005 21 4 619 629
15. DETECT Ergebnisse einer klinisch-epidemiologischen Querschnitts- und Verlaufsstudie mit 50.000 Patienten in 3.000 Hausarztpraxen. D Pittrow L Pieper J Klotsche H-U Wittchen, München: Elsevier, Urban & Fischer 2007
16. Prävalenz, medikamentöse Behandlung und Stoffwechseleinstellung des Diabetes mellitus in der Hausarztpraxis. D Pittrow GK Stalla AM Zeiher S Silber W März L Pieper J Klotsche H Glaesmer G Ruf HJ Schneider, et al. Medizinische Klinik 2006 101 635 644
17. An index for rating diagnostic tests. WJ Youden, Cancer 1950 3 32 35
18. Optimal cut-point and its corresponding youden index to discriminate individuals using pooled blood samples. EF Schisterman NJ Perkins A Liu H Bondell, Epidemiology 2005 16 1 73 81
19. The Youden index and the optimal cut-point corrected for measurement error. NJ Perkins EF Schisterman, Biometrical Journal 2005 47 4 428 441
20. Pro-gastrin-releasing peptide, neuron specific enolase and chromogranin A as serum markers of small cell lung cancer. PJ Lamy J Grenier A Kramar JL Pujol, Lung Cancer 2000 29 3 197 203
21. Short-term prognosis in critically ill patients with cirrhosis assessed by prognostic scoring systems. M Wehler J Kokoska U Reulbach EG Hahn R Strauss, Hepatology 2001 34 2 255 261
22. Psychometric Properties of the Depression Anxiety and Stress Scale-21 in Older Primary Care Patients. AT Gloster HM Rhoades D Novy J Klotsche A Senior M Kunik N Wilson MA Stanley, Journal of Affective Disorders 2008 110 248 259
23. Screening for anyiety in an epidemiological sample: predictive accuray of questionnaires. J Hoyer ES Becker S Neumer U Soeder J Margraf, Journal of Anxiety Disorders 2002 16 113 134
24. Nonparametric estimation of a discontinuity in regression. A Dempfle W Stute, Statistica Neerlandica 2002 56 2 233 242
25. Stochastische Prozesse mit Strukturbruechen. D Ferger, Dresdner Schriften zur Mathematischen Stochastik 2009 7 1 127
26. Estimation of the Youden index and its associated cutoff point. R Fluss D Faraggi B Reiser, Biometrical Journal 2005 47 4 458 472
27. Two transformation models for estimating an ROC curve derived from continuous data. KH Zou WJ Hall, Journal Of Applied Statistics 2000 27 5 621 631
28. An Analysis Of Transformations. GEP Box DR Cox, Journal Of The Royal Statistical Society Series B-Statistical Methodology 1964 26 2 211 252
29. Density estimator for statistics and data analysis. BW Silverman, London: Chapman and Hall 1986
30. Original smooth receiver operating characteristic curve estimation from continuous data: Statistical methods for analyzing the predictive value of spiral CT of ureteral stones. KH Zou CM Tempany JR Fielding SG Silverman, Academic Radiology 1998 5 10 680 687
31. Best estimation of a binary outcome in the sense of KS and AROC. MJ Appel, Communications In Statistics-Theory And Methods 2002 31 8 1251 1257
32. An interpretation for the ROC curve and inference using GLM procedures. MS Pepe, Biometrics 2000 56 2 352 359
33. Multivariate Statistical Modelling Based on Generalized Linear Models. L Fahrmeir G Tutz, New York: Springer Series in Statistics 1994
34. Stata Statistical Software. StataCorp, Release 9.2 College Station, TX: Stata Corporation 2005
35. Kernel estimation of regression functions in Smoothing Techniques for Curve Estimation (T. Gasser and M. Rossenblatt). T Gasser HG Mueller, Heidelberg: Springer Verlag 1979
36. Kernel Smoothing. MP Wand MC Jones, London: Chapman & Hall 1995
37. Locally weighted regression: An approach to regression analysis by local fitting. WS Cleveland SJ Devlin, Journal of the American Statistical Association 1988 83 596 610