SCOPUS 정보 검색 플랫폼

Anesthesia and Analgesia

Volumn 111, Issue 6, 2010, Pages 1416-1421

A program for computing the prediction probability and the related receiver operating characteristic graph

(4) Jordan, Denis a Steiner, Marcel b Kochs, Eberhard F a Schneider, Gerhard c

a TECHNICAL UNIVERSITY OF MUNICH (Germany)

b UNIVERSITY OF APPLIED SCIENCES AND ARTS NORTHWESTERN SWITZERLAND (Switzerland)

c UNIVERSITY OF WITTEN HERDECKE (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ANESTHETIC AGENT;

ANESTHESIA INDUCTION; ANESTHESIA LEVEL; AREA UNDER THE CURVE; ARTICLE; COMPUTER PROGRAM; CONSCIOUSNESS; CONTROLLED STUDY; HUMAN; MEDICAL DECISION MAKING; PREDICTION; PRIORITY JOURNAL; PROBABILITY; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; UNCONSCIOUSNESS;

ALGORITHMS; ANESTHESIOLOGY; AREA UNDER CURVE; CONSCIOUSNESS; DATA INTERPRETATION, STATISTICAL; HUMANS; MODELS, STATISTICAL; MONITORING, INTRAOPERATIVE; PREDICTIVE VALUE OF TESTS; PROBABILITY; ROC CURVE; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE;

EID: 78650307554 PISSN: 00032999 EISSN: None Source Type: Journal
DOI: 10.1213/ANE.0b013e3181fb919e Document Type: Article

Times cited : (42)

References (16)

1
- 0030021080
- Measuring the performance of anesthetic depth indicators
- Smith WD, Dutton RC, Smith N. Measuring the performance of anesthetic depth indicators. Anesthesiology 1996;84:38-51
- (1996) Anesthesiology , vol.84 , pp. 38-51
- Smith, W.D.¹ Dutton, R.C.² Smith, N.³

2
- 0029945017
- A measure of association for assessing prediction accuracy that is a generalization of non-parametric ROC area
- Smith WD, Dutton RC, Smith N. A measure of association for assessing prediction accuracy that is a generalization of non-parametric ROC area. Stat Med 1996;15:1199-215
- (1996) Stat Med , vol.15 , pp. 1199-215
- Smith, W.D.¹ Dutton, R.C.² Smith, N.³

3
- 0003484780
- New York: Cambridge University Press
- Davison AC, Hinkley DV. Bootstrap Methods and Their Application. New York: Cambridge University Press, 1997
- (1997) Bootstrap Methods and Their Application
- Davison, A.C.¹ Hinkley, D.V.²

4
- 0018079655
- Basic principles of ROC analysis
- Metz CE. Basic principles of ROC analysis. Semin Nucl Med 1978;8:283-98
- (1978) Semin Nucl Med , vol.8 , pp. 283-98
- Metz, C.E.¹

5
- 33646023117
- An introduction to ROC analysis
- Fawcett T. An introduction to ROC analysis. Pattern Recogn Lett 2006;27:861-74
- (2006) Pattern Recogn Lett , vol.27 , pp. 861-74
- Fawcett, T.¹

6
- 49549139345
- The area above the ordinal dominance graph and the area below the receiver operating characteristic graph
- Bamber D. The area above the ordinal dominance graph and the area below the receiver operating characteristic graph. J Math Psychol 1975;12:387-415
- (1975) J Math Psychol , vol.12 , pp. 387-415
- Bamber, D.¹

7
- 0034294901
- Better decisions through science
- Swets JA, Dawes RM, Monahan J. Better decisions through science. Sci Am 2000;10:82-7
- (2000) Sci Am , vol.10 , pp. 82-7
- Swets, J.A.¹ Dawes, R.M.² Monahan, J.³

8
- 0034133182
- Improving the practice of classifier performance assessment
- Adams NM, Hand DJ. Improving the practice of classifier performance assessment. Neural Comput 2000;12:305-11
- (2000) Neural Comput , vol.12 , pp. 305-11
- Adams, N.M.¹ Hand, D.J.²

9
- 0020083498
- The meaning and use of the area under a receiver operating characteristic (ROC) curve
- Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 1982;143:29-36
- (1982) Radiology , vol.143 , pp. 29-36
- Hanley, J.A.¹ McNeil, B.J.²

10
- 84898972495
- Confidence intervals for the area under the ROC curve
- Cortes C, Mohri M. Confidence intervals for the area under the ROC curve. Adv Neural Inf Process Syst 2005;17:305-15
- (2005) Adv Neural Inf Process Syst , vol.17 , pp. 305-15
- Cortes, C.¹ Mohri, M.²

11
- 78650309343
- Web-bootstrap estimate of area under ROC curve
- Skalska H, Freylich V. Web-bootstrap estimate of area under ROC curve. Austrian J Stat 2006;35:325-30
- (2006) Austrian J Stat , vol.35 , pp. 325-30
- Skalska, H.¹ Freylich, V.²

12
- 3142777803
- Ideal observers and optimal ROC hypersurfaces in N-class classification
- Edwards DC, Metz CE, Kupinski MA. Ideal observers and optimal ROC hypersurfaces in N-class classification. IEEE Trans Med Imaging 2004;23:891-5
- (2004) IEEE Trans Med Imaging , vol.23 , pp. 891-5
- Edwards, D.C.¹ Metz, C.E.² Kupinski, M.A.³

13
- 0003562954
- A simple generalisation of the area under the ROC curve for multiple class classification problems
- Hand DJ, Till RJ. A simple generalisation of the area under the ROC curve for multiple class classification problems. Machine Learning 2001;45:171-86
- (2001) Machine Learning , vol.45 , pp. 171-86
- Hand, D.J.¹ Till, R.J.²

14
- 0034657861
- Bootstrap confidence intervals: When, which, what? A practical guide for medical statisticians
- Carpenter J, Bithell J. Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticians. Stat Med 2000;19:1141-64
- (2000) Stat Med , vol.19 , pp. 1141-64
- Carpenter, J.¹ Bithell, J.²

15
- 77649339915
- Application of bootstrap method in conservative estimation of reliability with limited samples
- Picheny V, Ho Kim N, Haftka RT. Application of bootstrap method in conservative estimation of reliability with limited samples. Struct Multidisc Optim 2010;41:205-17
- (2010) Struct Multidisc Optim , vol.41 , pp. 205-17
- Picheny, V.¹ Ho Kim, N.² Haftka, R.T.³

16
- 11944262819
- Multiple hypothesis testing
- Shaffer JP. Multiple hypothesis testing. Annu Rev Psychol 1995;46:561-76
- (1995) Annu Rev Psychol , vol.46 , pp. 561-76
- Shaffer, J.P.¹

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.