-
2
-
-
67649214465
-
Penalized SVM: A R-package for feature selection SVM classification
-
Becker, N., Werft, W., Toedt, G., Lichter, P., and Benner, A. (2009). Penalized SVM: A R-package for feature selection SVM classification. Bioinformatics 25, 1711-1712.
-
(2009)
Bioinformatics
, vol.25
, pp. 1711-1712
-
-
Becker, N.1
Werft, W.2
Toedt, G.3
Lichter, P.4
Benner, A.5
-
4
-
-
39849093135
-
The skill plot: A graphical technique for evaluating continuous diagnostic tests
-
Briggs, M. and Zaretzki, R. (2008). The skill plot: A graphical technique for evaluating continuous diagnostic tests. Biometrics 63, 250-261.
-
(2008)
Biometrics
, vol.63
, pp. 250-261
-
-
Briggs, M.1
Zaretzki, R.2
-
6
-
-
80053264999
-
How biased is the apparent error rate of a prediction rule
-
Efron, B. (1986). How biased is the apparent error rate of a prediction rule Journal of the American Statistical Association 81, 461-470.
-
(1986)
Journal of the American Statistical Association
, vol.81
, pp. 461-470
-
-
Efron, B.1
-
7
-
-
1542784498
-
Variable selection via nonconcave penalized likelihood and its oracle properties
-
Fan, J. and Li, R. (2001). Variable selection via nonconcave penalized likelihood and its oracle properties. Journal of the American Statistical Association 96, 1348-1360.
-
(2001)
Journal of the American Statistical Association
, vol.96
, pp. 1348-1360
-
-
Fan, J.1
Li, R.2
-
8
-
-
85153238895
-
-
Structured Clinical Interview for DSM-IV Axis I Disorders, Patient Edition (SCID-I/P, Version 2.0, 9/98 revision), Biometrics Research Department, New York State Research Institute
-
First, M. B., Spitzer, R. L., Gibbon, M., and Williams, J. (1998). Structured Clinical Interview for DSM-IV Axis I Disorders, Patient Edition (SCID-I/P, Version 2.0, 9/98 revision), Biometrics Research Department, New York State Research Institute.
-
(1998)
-
-
First, M.B.1
Spitzer, R.L.2
Gibbon, M.3
Williams, J.4
-
9
-
-
3543109140
-
A feature selection Newton method for support vector machine classification
-
Fung, G. and Mangasarian, O. L. (2004). A feature selection Newton method for support vector machine classification. Computational Optimization and Applications 28, 185-202.
-
(2004)
Computational Optimization and Applications
, vol.28
, pp. 185-202
-
-
Fung, G.1
Mangasarian, O.L.2
-
10
-
-
45949121097
-
Non-parametric analysis of a generalized regression model. The maximum rank correlation estimator
-
Han, A. K. (1987). Non-parametric analysis of a generalized regression model. The maximum rank correlation estimator. Journal of Economics 35, 303-316.
-
(1987)
Journal of Economics
, vol.35
, pp. 303-316
-
-
Han, A.K.1
-
11
-
-
85153266137
-
On Briggs and Zaretzki: The Skill Plot: A graphical technique for evaluating continuous diagnostic tests
-
Hand, D. (2008). On Briggs and Zaretzki: The Skill Plot: A graphical technique for evaluating continuous diagnostic tests. Biometrics 63, 259.
-
(2008)
Biometrics
, vol.63
, pp. 259
-
-
Hand, D.1
-
12
-
-
0003684449
-
-
New York: Springer.
-
Hastie, T., Tibshirani, R., and Friedman, J. (2001). The Elements of Statistical Learning: Data Mining, Inference, and Prediction. New York: Springer.
-
(2001)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
13
-
-
15044357936
-
Survival model predictive accuracy and ROC curves
-
Heagerty, P. J. and Zheng, Y. (2005). Survival model predictive accuracy and ROC curves. Biometrics 61, 92-105.
-
(2005)
Biometrics
, vol.61
, pp. 92-105
-
-
Heagerty, P.J.1
Zheng, Y.2
-
14
-
-
66249102619
-
A group bridge approach for variable selection
-
Huang, J., Ma, S., Xie, H., and Zhang, C. (2009). A group bridge approach for variable selection. Biometrika 96, 339-355.
-
(2009)
Biometrika
, vol.96
, pp. 339-355
-
-
Huang, J.1
Ma, S.2
Xie, H.3
Zhang, C.4
-
15
-
-
48849101115
-
A Bahadur representation of the linear support vector machine
-
Koo, K., Lee, Y., Kim, Y., and Park, C. (2008). A Bahadur representation of the linear support vector machine. Journal of Machine Learning Research 9, 1343-1368.
-
(2008)
Journal of Machine Learning Research
, vol.9
, pp. 1343-1368
-
-
Koo, K.1
Lee, Y.2
Kim, Y.3
Park, C.4
-
16
-
-
85153210980
-
Assessing psychosis screeners among underserved urban primary care patients
-
In, National Alliance for Research on Schizophrenia and Depression (NARSAD), October 17, 2003.
-
Lewis-Fernández, R. (2003). Assessing psychosis screeners among underserved urban primary care patients. In Proceedings of the 15th Annual Scientific Symposium, National Alliance for Research on Schizophrenia and Depression (NARSAD), October 17, 2003.
-
(2003)
Proceedings of the 15th Annual Scientific Symposium
-
-
Lewis-Fernández, R.1
-
17
-
-
28944437658
-
Regularized ROC method for disease classification and biomarker selection with microarray data
-
Ma, S. and Huang, J. (2005). Regularized ROC method for disease classification and biomarker selection with microarray data. Bioinformatics 21, 4356-4362.
-
(2005)
Bioinformatics
, vol.21
, pp. 4356-4362
-
-
Ma, S.1
Huang, J.2
-
18
-
-
34548463550
-
Combining multiple markers for classification using ROC
-
Ma, S. and Huang, J. (2007). Combining multiple markers for classification using ROC. Biometrics 63, 751-757.
-
(2007)
Biometrics
, vol.63
, pp. 751-757
-
-
Ma, S.1
Huang, J.2
-
19
-
-
31744447672
-
An ROC-type measure of diagnostic accuracy when the gold standard is continuous-scale
-
Obuchowski, N. A. (2006). An ROC-type measure of diagnostic accuracy when the gold standard is continuous-scale. Statistics in Medicine 25, 481-493.
-
(2006)
Statistics in Medicine
, vol.25
, pp. 481-493
-
-
Obuchowski, N.A.1
-
21
-
-
30944468728
-
Evaluating technologies for classification and prediction in medicine
-
Pepe, M. S. (2005). Evaluating technologies for classification and prediction in medicine. Statistics in Medicine 24, 3687-3696.
-
(2005)
Statistics in Medicine
, vol.24
, pp. 3687-3696
-
-
Pepe, M.S.1
-
22
-
-
33645072705
-
Combining predictors for classification using the area under the receiver operating characteristic curve
-
Pepe, M. S., Cai, T., and Longton, G. (2006). Combining predictors for classification using the area under the receiver operating characteristic curve. Biometrics 62, 221-229.
-
(2006)
Biometrics
, vol.62
, pp. 221-229
-
-
Pepe, M.S.1
Cai, T.2
Longton, G.3
-
23
-
-
24944535753
-
Scaling of true and apparent ROC AUC with number of observations and number of variables
-
Pinsky, P. (2005). Scaling of true and apparent ROC AUC with number of observations and number of variables. Communications in Statistics: Simulation and Computation 34, 771-781.
-
(2005)
Communications in Statistics: Simulation and Computation
, vol.34
, pp. 771-781
-
-
Pinsky, P.1
-
24
-
-
0023890867
-
Measuring the accuracy of diagnostic systems
-
Swets, J. A. (1988). Measuring the accuracy of diagnostic systems. Science 240, 1285-1293.
-
(1988)
Science
, vol.240
, pp. 1285-1293
-
-
Swets, J.A.1
-
26
-
-
0003267918
-
GACV for support vector machines, or, another way to look at margin-like quantities
-
In, A. J. Smola, P. Bartlett, B. Schölkopf, and D. Schurmans (eds), Cambridge, Massachusetts: MIT Press.
-
Wahba, G., Lin, Y., and Zhang, H. (2000). GACV for support vector machines, or, another way to look at margin-like quantities. In Advances in Large Margin Classifiers, A. J. Smola, P. Bartlett, B. Schölkopf, and D. Schurmans (eds), 297-309. Cambridge, Massachusetts: MIT Press.
-
(2000)
Advances in Large Margin Classifiers
, pp. 297-309
-
-
Wahba, G.1
Lin, Y.2
Zhang, H.3
-
27
-
-
66249113503
-
Hierarchically penalized Cox regression with grouped variables
-
Wang, S., Nan, B., Zhou, N., and Zhu, J. (2009). Hierarchically penalized Cox regression with grouped variables. Biometrika 96, 307-322.
-
(2009)
Biometrika
, vol.96
, pp. 307-322
-
-
Wang, S.1
Nan, B.2
Zhou, N.3
Zhu, J.4
-
28
-
-
36849023833
-
An efficient variable selection approach for analyzing designed experiments
-
Yuan, M. and Lin, Y. (2007). An efficient variable selection approach for analyzing designed experiments. Technometrics 49, 430-439.
-
(2007)
Technometrics
, vol.49
, pp. 430-439
-
-
Yuan, M.1
Lin, Y.2
-
29
-
-
77955322588
-
Structured variable selection and estimation
-
Yuan, M., Joseph, R., and Zou, H. (2009). Structured variable selection and estimation. Annals of Applied Statistics 3, 1738-1757.
-
(2009)
Annals of Applied Statistics
, vol.3
, pp. 1738-1757
-
-
Yuan, M.1
Joseph, R.2
Zou, H.3
-
30
-
-
30344438839
-
Gene selection using support vector machine with non-convex penalty
-
Zhang, H., Ahn, J., Lin, X., and Park, C. (2006). Gene selection using support vector machine with non-convex penalty. Bioinformatics 22, 88-95.
-
(2006)
Bioinformatics
, vol.22
, pp. 88-95
-
-
Zhang, H.1
Ahn, J.2
Lin, X.3
Park, C.4
-
31
-
-
51049104549
-
One-step sparse estimates in nonconcave penalized likelihood models
-
Zou, H. and Li, R. (2008). One-step sparse estimates in nonconcave penalized likelihood models. Annals of Statistics 36, 1509-1533.
-
(2008)
Annals of Statistics
, vol.36
, pp. 1509-1533
-
-
Zou, H.1
Li, R.2
|