Probabilistic approach to developing nephropathy in diabetic patients with retinography

Statistics in Medicine

Volumn 22, Issue 24, 2003, Pages 3889-3897

  Ballone, Enzo ^a   Colagrande, Vittorio ^a   Di Nicola, Marta ^a   Di Mascio, Rocco ^a   Di Mascio, Claudio ^a   Capani, Fabio ^b  

^a UNIVERSITY OF CHIETI   (Italy)

^b Ospedale Civile di Pescara   (Italy)

Author keywords

Bayes' formula; Conditional probability; Diabetic nephropathy; Diabetic retinopathy; Prior probability

Indexed keywords

ADULT; AGED; ANALYTIC METHOD; ARTICLE; BAYES THEOREM; CALCULATION; CONTROLLED STUDY; DIABETIC NEPHROPATHY; DIABETIC RETINOPATHY; FEMALE; HUMAN; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL COMPUTING; NON INSULIN DEPENDENT DIABETES MELLITUS; PROBABILITY; RISK FACTOR; STATISTICAL ANALYSIS; SURVIVAL;

ADULT; AGED; AGED, 80 AND OVER; BAYES THEOREM; DIABETIC NEPHROPATHIES; DIABETIC RETINOPATHY; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, STATISTICAL; RISK FACTORS;

EID: 0348149053     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1644     Document Type: Article

References (13)

1. American Diabetes Association. Diabetic retinopathy. Diabetes Care 2002; 25(S1): S90-S93.
2. American Diabetes Association. Diabetic nephropathy. Diabetes Care 2002; 25(S1): S85-S89.
3. Skyler JS. Microvascular complications. Retinopathy and nephropathy. Endocrinology and Metabolism Clinics of North America 2001; 30(4):833-856.
4. Klein R, Klein BE, Moss SE. Epidemiology of proliferative diabetic retinopathy. Diabetic Care 1992; 15: 1875-1891.
5. Craig BA, Fryback DG, Klein R, Klein BEK. A Bayesian approach to modelling the natural history of a chronic condition from observations with intervention. Statistics in Medicine 1999; 18(11):1355-1371.
6. Kalbfleisch JD. Non-parametric Bayesian analysis of survival time data. Journal of the Royal Statistical Society, Series B 1978; 40:214-221.
7. Burridge J. Empirical Bayes analysis of survival time data. Journal of the Royal Statistical Society, Series B 1981; 43:66-75.
8. Klein BE, Moss SE, Folsom AR, Wong TY, Brancati FL, Hibbard LD, Couper D. The association of atherosclerosis, vascular risk factors and retinopathy in adults with diabetes: the atherosclerosis risk in communities study. Ophthalmology 2002; 109(7):1225-1234.
9. Barnes DJ, Pinto JR, Viberti G. The Patient with Diabetes Mellitus in The Kidney in Systemic Disease, Suki WN, Ekonyan G (eds) (2nd edn). Wiley: New York, 1981; 723-729.
10. Marubini E, Valsecchi MG. Analysing Survival Data from Clinical Trials and Observational Studies. Wiley: Chichester, 1994; 331-371.
11. Kalbfleisch JD, Prentice RL. The Statistical Analysis of Failure Time Data. Wiley: New York, 1980.
12. Arriagada R, Rutqvist LE, Kramar A, Johansson H. Competing risks determining event-free survival in early breast cancer. British Journal of Cancer 1992; 66:951-957.
13. Miettinen OS, Caro JJ. Foundations of medical diagnosis: what actually are the parameters involved in Bayes' theorem? Statistics in Medicine 1994; 13(3):201-209.