Bayesian Regression Methodology for Estimating a Receiver Operating Characteristic Curve with Two Radiologic Applications
Tài liệu tham khảo
Tempany, 1994, Staging of prostate cancer: result of radiologic diagnostic oncology group project comparison of three MR imaging techniques, Radiology, 192, 47, 10.1148/radiology.192.1.8208963
Fielding, 1998, Unenhanced helical CT of ureteral stones: a replacement for excretory urography in planning treatment, AJR Am J Roentgenol, 171, 1051, 10.2214/ajr.171.4.9762995
Swets, 1982
Campbell, 1994, General methodology. I. Advances in statistical methodology for the evaluation of diagnostic and laboratory tests, Stat Med, 13, 499, 10.1002/sim.4780130513
Shapiro, 1999, The interpretation of diagnostic tests, Stat Methods Med Res, 8, 113, 10.1191/096228099666928387
Metz, 1998, Maximum-likelihood estimation of receiver operating characteristic (ROC) curves from continuous distributed data, Stat Med, 17, 1022, 10.1002/(SICI)1097-0258(19980515)17:9<1033::AID-SIM784>3.0.CO;2-Z
Tosteson, 1988, A general regression methodology for ROC curve estimation, Med Decis Making, 8, 204, 10.1177/0272989X8800800309
Pepe, 1997, A regression modeling framework for ROC curves in medical diagnostic testing, Biometrika, 84, 595, 10.1093/biomet/84.3.595
Pepe, 1998, Three approaches to regression analysis of receiver operating characteristic curves for continuous test results, Biometrics, 54, 124, 10.2307/2534001
Pepe, 2000, An interpretation for the ROC curve and inference using GLM procedures, Biometrics, 56, 352, 10.1111/j.0006-341X.2000.00352.x
Beam, 1995, Random-effects models in the receiver operating characteristic curve-based assessment of the effectiveness of diagnostic imaging technology: concepts, approaches, and issues, Acad Radiol, 2, S4
Gatsonis, 1995, Random-effects models for diagnostic accuracy data, Acad Radiol, 2, S14
Peng, 1996, Bayesian analysis of ROC curves using Markov-chain Monte Carlo methods, Med Decis Making, 16, 404, 10.1177/0272989X9601600411
Hellmich, 1998, A Bayesian approach to a general regression model for ROC curves, Med Decis Making, 18, 436, 10.1177/0272989X9801800412
Ishwaran, 2000, A general class of hierarchical ordinal regression models with applications to correlated ROC analysis, Can J Stat, 28, 731, 10.2307/3315913
Gelman, 1995
Tanner, 1993
Spiegelhalter, 1995
D'Amico, 1998, Biochemical outcome after radical prostatectomy, external beam radiation therapy, or interstitial radiation therapy for clinically localized prostate cancer, JAMA, 280, 969, 10.1001/jama.280.11.969
Zou, 1998, Original smooth receiver operating characteristic curve estimation from continuous data: statistical methods for analyzing the predictive value of spiral CT of ureteral stones, Acad Radiol, 5, 680, 10.1016/S1076-6332(98)80562-X
Best, 1995
Gelman, 1992, Inference from iterative simulation using multiple sequences, Stat Sci, 7, 457, 10.1214/ss/1177011136
Spiegelhalter DJ, Best NG, Carlin BP. Bayesian deviance, the effect number of parameters, and the comparison of arbitrarily complex models. 1998. Web site of the MRC Biostatistics Unit, Cambridge, England. Available at: http://www.mrc-bsu.cam.ac.uk/Publications/preslid.shtml. Accessed May 21, 2001
Gelfand, 1992, Model determination using predictive distributions with implementation via sampling-based methods, 147
Lindley, 1982, Bayesian inference, Vol 1, 197
Kass, 1996, The selection of prior distribution by formal rules, JASA, 91, 1343, 10.1080/01621459.1996.10477003
Tandberg, 1997, Generalized likelihood ratios for quantitative diagnostic test scores, Am J Emerg Med, 15, 694, 10.1016/S0735-6757(97)90189-3
Hanley, 1982, The meaning and use of the area under a receiver operating characteristic (ROC) curve, Radiology, 143, 29, 10.1148/radiology.143.1.7063747
McClish, 1989, Analyzing a portion of the ROC curve, Med Decis Making, 9, 190, 10.1177/0272989X8900900307