-
1
-
-
0016029778
-
The relationship between variable selection and data agumentation and a method for prediction
-
Allen, D. (1974). The relationship between variable selection and data agumentation and a method for prediction. Technometrics 16, 125-127.
-
(1974)
Technometrics
, vol.16
, pp. 125-127
-
-
Allen, D.1
-
2
-
-
77956649096
-
A survey of cross-validation procedures for model selection
-
Arlot, S. and Celisse, A. (2010). A survey of cross-validation procedures for model selection. Statistics Surveys 4, 40-79.
-
(2010)
Statistics Surveys
, vol.4
, pp. 40-79
-
-
Arlot, S.1
Celisse, A.2
-
3
-
-
0001028358
-
An inverse matrix adjustment arising in discriminant analysis
-
Bartlett, M. (1951). An inverse matrix adjustment arising in discriminant analysis. Annals of Mathematical Statistics 22, 107-111.
-
(1951)
Annals of Mathematical Statistics
, vol.22
, pp. 107-111
-
-
Bartlett, M.1
-
4
-
-
34548565944
-
Predicting survival from microarray data-a comparative study
-
Bøvelstad, H., Nygård, S., Størvold, H., Aldrin, M., Borgan, Ø., Frigessi, A. and Lingjærde, O. (2007). Predicting survival from microarray data-a comparative study. Bioinformatics 23, 2080-2087.
-
(2007)
Bioinformatics
, vol.23
, pp. 2080-2087
-
-
Bøvelstad, H.1
Nygård, S.2
Størvold, H.3
Aldrin, M.4
Borgan, Ø.5
Frigessi, A.6
Lingjærde, O.7
-
5
-
-
8444241860
-
Fast exact leave-one-out cross-validation of sparse least-squares support vector machines
-
Cawley, G. and Talbot, N. (2004). Fast exact leave-one-out cross-validation of sparse least-squares support vector machines. Neural Networks 17, 1467-1475.
-
(2004)
Neural Networks
, vol.17
, pp. 1467-1475
-
-
Cawley, G.1
Talbot, N.2
-
8
-
-
34250652449
-
Strong time dependence of the 76-gene prognostic signature for node-negative breast cancer patients in the transbig multicenter independent validation series
-
Desmedt, C., Piette, F., Loi, S., Wang, Y., d'Assignies, M.S., Bergh, J., Lidereau, R., Ellis, P., Harris, A.L., Klijn, J.G.M., Foekens, J.A., Cardoso, F., Piccart, M.J., Buyse, M. and Sotiriou, C. (2007). Strong time dependence of the 76-gene prognostic signature for node-negative breast cancer patients in the transbig multicenter independent validation series. Clinical Cancer Research 13, 3207-3214.
-
(2007)
Clinical Cancer Research
, vol.13
, pp. 3207-3214
-
-
Desmedt, C.1
Piette, F.2
Loi, S.3
Wang, Y.4
d'Assignies, M.S.5
Bergh, J.6
Lidereau, R.7
Ellis, P.8
Harris, A.L.9
Klijn, J.G.M.10
Foekens, J.A.11
Cardoso, F.12
Piccart, M.J.13
Buyse, M.14
Sotiriou, C.15
-
9
-
-
32044449925
-
Generalized cross-validation as a method for choosing a good ridge parameter
-
Golub, G., Heath, M. and Wahba, G. (1979). Generalized cross-validation as a method for choosing a good ridge parameter. Technometrics 21, 215-223.
-
(1979)
Technometrics
, vol.21
, pp. 215-223
-
-
Golub, G.1
Heath, M.2
Wahba, G.3
-
10
-
-
21444446838
-
Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data
-
Gui, J. and Li, H. (2005). Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data. Bioinformatics 21, 3001-3008.
-
(2005)
Bioinformatics
, vol.21
, pp. 3001-3008
-
-
Gui, J.1
Li, H.2
-
11
-
-
0024682770
-
Updating the inverse of a matrix
-
Hager, W. (1989). Updating the inverse of a matrix. SIAM Review 31, 221-239.
-
(1989)
SIAM Review
, vol.31
, pp. 221-239
-
-
Hager, W.1
-
12
-
-
52949124120
-
A comparative study of survival models for breast cancer prognostication based on microarray data: does a single gene beat them all?
-
Haibe-Kains, B., Desmedt, C., Sotiriou, C., and Bontempi, G. (2008). A comparative study of survival models for breast cancer prognostication based on microarray data: does a single gene beat them all? Bioinformatics 24, 2200-2208.
-
(2008)
Bioinformatics
, vol.24
, pp. 2200-2208
-
-
Haibe-Kains, B.1
Desmedt, C.2
Sotiriou, C.3
Bontempi, G.4
-
13
-
-
0036968865
-
Penalized partial likelihood regression for right-censored data with bootstrap selection of the penalty parameter
-
Huang, J. and Harrington, D. (2002). Penalized partial likelihood regression for right-censored data with bootstrap selection of the penalty parameter. Biometrics 58, 781-791.
-
(2002)
Biometrics
, vol.58
, pp. 781-791
-
-
Huang, J.1
Harrington, D.2
-
16
-
-
0037142053
-
The use of molecular profiling to predict survival after chemotherapy for diffuse large-b-cell lymphoma
-
Rosenwald, A., Wright, G., Chan, W.C., Connors, J.M., Campo, E., Fisher, R.I., Gascoyne, R.D., Muller-Hermelink, H.K., Smeland, E.B. and Staudt, L.M., (2002). The use of molecular profiling to predict survival after chemotherapy for diffuse large-b-cell lymphoma. New England Journal of Medicine 346, 1937-1947.
-
(2002)
New England Journal of Medicine
, vol.346
, pp. 1937-1947
-
-
Rosenwald, A.1
Wright, G.2
Chan, W.C.3
Connors, J.M.4
Campo, E.5
Fisher, R.I.6
Gascoyne, R.D.7
Muller-Hermelink, H.K.8
Smeland, E.B.9
Staudt, L.M.10
-
17
-
-
34547863496
-
Assessment of survival prediction models based on microarray data
-
Schumacher, M., Binder, H. and Gerds, T. (2007). Assessment of survival prediction models based on microarray data. Bioinformatics 23, 1768-1774.
-
(2007)
Bioinformatics
, vol.23
, pp. 1768-1774
-
-
Schumacher, M.1
Binder, H.2
Gerds, T.3
-
18
-
-
0000905617
-
Adjustment of an inverse matrix corresponding to a change in one element of a given matrix
-
Sherman, J. and Morrison, W. (1950). Adjustment of an inverse matrix corresponding to a change in one element of a given matrix. Annals of Mathematical Statistics 21, 124-127.
-
(1950)
Annals of Mathematical Statistics
, vol.21
, pp. 124-127
-
-
Sherman, J.1
Morrison, W.2
-
20
-
-
53649102854
-
Optimizing the efficiency of cross-validation in linear discriminant analysis through selective use of the Sherman-Morrison-Woodbury inversion formula
-
Tapp, H. and Kemsley, E. (2008). Optimizing the efficiency of cross-validation in linear discriminant analysis through selective use of the Sherman-Morrison-Woodbury inversion formula. Journal of Chemometrics 22, 419-421.
-
(2008)
Journal of Chemometrics
, vol.22
, pp. 419-421
-
-
Tapp, H.1
Kemsley, E.2
-
21
-
-
70449671769
-
Penalized maximum likelihood principle for choosing ridge parameter
-
Tran, M. (2009). Penalized maximum likelihood principle for choosing ridge parameter. Communications in Statistics-Simulation and Computation 38, 1610-1624.
-
(2009)
Communications in Statistics-Simulation and Computation
, vol.38
, pp. 1610-1624
-
-
Tran, M.1
-
22
-
-
0037137519
-
A gene-expression signature as a predictor of survival in breast cancer
-
van de Vijver, M.J., He, Y.D., van't Veer, L.J., Dai, H., Hart, A.A., Voskuil, D.W., Schreiber, G.J., Peterse, J.L., Roberts, C., Marton, M.J., Parrish, M., Atsma, D., Witteveen, A., Glas, A., Delahaye, L., van der Velde, T., Bartelink, H., Rodenhuis, S., Rutgers, E.T., Friend, S.H. and Bernards, R. (2002). A gene-expression signature as a predictor of survival in breast cancer. New England Journal of Medicine 347, 1999-2009.
-
(2002)
New England Journal of Medicine
, vol.347
, pp. 1999-2009
-
-
van de Vijver, M.J.1
He, Y.D.2
van't Veer, L.J.3
Dai, H.4
Hart, A.A.5
Voskuil, D.W.6
Schreiber, G.J.7
Peterse, J.L.8
Roberts, C.9
Marton, M.J.10
Parrish, M.11
Atsma, D.12
Witteveen, A.13
Glas, A.14
Delahaye, L.15
van der Velde, T.16
Bartelink, H.17
Rodenhuis, S.18
Rutgers, E.T.19
Friend, S.H.20
Bernards, R.21
more..
-
23
-
-
33748631068
-
Cross-validated cox regression on microarray gene expression data
-
Van Houwelingen, H., Bruinsma, T., Hart, A., Van't Veer, L., and Wessels, L. (2006). Cross-validated cox regression on microarray gene expression data. Statistics in medicine 25, 3201-3216.
-
(2006)
Statistics in medicine
, vol.25
, pp. 3201-3216
-
-
Van Houwelingen, H.1
Bruinsma, T.2
Hart, A.3
Van't Veer, L.4
Wessels, L.5
-
24
-
-
60349120810
-
Survival prediction using gene expression data: a review and comparison
-
Van Wieringen, W., Kun, D., Hampel, R., and Boulesteix, A. (2009). Survival prediction using gene expression data: a review and comparison. Computational Statistics & Data Analysis 53, 1590-1603.
-
(2009)
Computational Statistics & Data Analysis
, vol.53
, pp. 1590-1603
-
-
Van Wieringen, W.1
Kun, D.2
Hampel, R.3
Boulesteix, A.4
-
26
-
-
66849138434
-
Shrinkage tuning parameter selection with a diverging number of parameters
-
Wang, H., Li, B., and Leng, C. (2009). Shrinkage tuning parameter selection with a diverging number of parameters. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 71, 671-683.
-
(2009)
Journal of the Royal Statistical Society: Series B (Statistical Methodology)
, vol.71
, pp. 671-683
-
-
Wang, H.1
Li, B.2
Leng, C.3
-
27
-
-
13844310310
-
Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer
-
Wang, Y.X., Klijn, J.G.M., Zhang, Y., Sieuwerts, A., Look, M.P., Yang, F., Talantov, D., Timmermans, M., Meijer-van Gelder, M.E., Yu, J., Jatkoe, T., Berns, E.M.J.J., Atkins, D. and Foekens, J.A. (2005). Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer. The Lancet 365, 671-679.
-
(2005)
The Lancet
, vol.365
, pp. 671-679
-
-
Wang, Y.X.1
Klijn, J.G.M.2
Zhang, Y.3
Sieuwerts, A.4
Look, M.P.5
Yang, F.6
Talantov, D.7
Timmermans, M.8
Meijer-van Gelder, M.E.9
Yu, J.10
Jatkoe, T.11
Berns, E.M.J.J.12
Atkins, D.13
Foekens, J.A.14
-
28
-
-
38949180527
-
Assessment of PLSDA cross validation
-
Westerhuis, J. A., Hoefsloot, H. C. J., Smit, S., Vis, D. J., Smilde, A. K., van Velzen, E. J. J., van Duijnhoven, J. P. M. and van Dorsten, F. A. (2008). Assessment of PLSDA cross validation. Metabolomics 4, 81-89.
-
(2008)
Metabolomics
, vol.4
, pp. 81-89
-
-
Westerhuis, J.A.1
Hoefsloot, H.C.J.2
Smit, S.3
Vis, D.J.4
Smilde, A.K.5
van Velzen, E.J.J.6
van Duijnhoven, J.P.M.7
van Dorsten, F.A.8
-
29
-
-
0003742929
-
-
Memorandum Report 42, Statistical Research Group Princeton, Princeton University, Princeton, New Jersey
-
Woodbury, M. (1950). Inverting modified matrices. Memorandum Report 42, Statistical Research Group Princeton, Princeton University, Princeton, New Jersey.
-
(1950)
Inverting modified matrices
-
-
Woodbury, M.1
-
30
-
-
21144472438
-
Model selection via multifold cross validation
-
Zhang, P. (1993). Model selection via multifold cross validation. The Annals of Statistics 21, 299-313.
-
(1993)
The Annals of Statistics
, vol.21
, pp. 299-313
-
-
Zhang, P.1
|