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Items: 1 to 20 of 89

1.

Overfitting, generalization, and MSE in class probability estimation with high-dimensional data.

Kim KI, Simon R.

Biom J. 2014 Mar;56(2):256-69. doi: 10.1002/bimj.201300083. Epub 2013 Dec 16.

PMID:
24338793
2.

A simulation-approximation approach to sample size planning for high-dimensional classification studies.

de Valpine P, Bitter HM, Brown MP, Heller J.

Biostatistics. 2009 Jul;10(3):424-35. doi: 10.1093/biostatistics/kxp001. Epub 2009 Feb 21.

3.
4.

Asymptotic accuracy of Bayesian estimation for a single latent variable.

Yamazaki K.

Neural Netw. 2015 Sep;69:11-9. doi: 10.1016/j.neunet.2015.04.014. Epub 2015 May 8.

PMID:
26022203
5.

Probabilistic classifiers with high-dimensional data.

Kim KI, Simon R.

Biostatistics. 2011 Jul;12(3):399-412. doi: 10.1093/biostatistics/kxq069. Epub 2010 Nov 17.

6.

Class probability estimation for medical studies.

Simon R.

Biom J. 2014 Jul;56(4):597-600. doi: 10.1002/bimj.201300296. Epub 2014 Feb 25.

PMID:
24615788
7.

Application of the Bayesian MMSE estimator for classification error to gene expression microarray data.

Dalton LA, Dougherty ER.

Bioinformatics. 2011 Jul 1;27(13):1822-31. doi: 10.1093/bioinformatics/btr272. Epub 2011 May 5.

PMID:
21551140
8.

Mistakes in validating the accuracy of a prediction classifier in high-dimensional but small-sample microarray data.

Lee S.

Stat Methods Med Res. 2008 Dec;17(6):635-42. doi: 10.1177/0962280207084839. Epub 2008 Mar 28.

PMID:
18375459
9.

Multiclass cancer classification by support vector machines with class-wise optimized genes and probability estimates.

Anand A, Suganthan PN.

J Theor Biol. 2009 Aug 7;259(3):533-40. doi: 10.1016/j.jtbi.2009.04.013. Epub 2009 May 3.

PMID:
19406131
10.

Estimation of the log-normal mean.

Zhou XH.

Stat Med. 1998 Oct 15;17(19):2251-64.

PMID:
9802182
11.

Adjustment for missingness using auxiliary information in semiparametric regression.

Zeng D, Chen Q.

Biometrics. 2010 Mar;66(1):115-22. doi: 10.1111/j.1541-0420.2009.01231.x. Epub 2009 May 7.

12.
13.

Estimation for the optimal combination of markers without modeling the censoring distribution.

Chiang CT, Huang SY.

Biometrics. 2009 Mar;65(1):152-8. doi: 10.1111/j.1541-0420.2007.01040.x. Epub 2008 Apr 16.

PMID:
18422791
14.
15.

Empirical Bayes estimation of gene-specific effects in micro-array research.

Edwards JW, Page GP, Gadbury G, Heo M, Kayo T, Weindruch R, Allison DB.

Funct Integr Genomics. 2005 Jan;5(1):32-9. Epub 2004 Sep 29. Erratum in: Funct Integr Genomics. 2006 Jul;6(3):261.

PMID:
15455262
16.

Smooth quantile ratio estimation with regression: estimating medical expenditures for smoking-attributable diseases.

Dominici F, Zeger SL.

Biostatistics. 2005 Oct;6(4):505-19. Epub 2005 May 4.

PMID:
15872022
17.

The effect of assuming independence in applying Bayes' theorem to risk estimation and classification in diagnosis.

Russek E, Kronmal RA, Fisher LD.

Comput Biomed Res. 1983 Dec;16(6):537-52.

PMID:
6653089
18.

Bayesian fluorescence in situ hybridisation signal classification.

Lerner B.

Artif Intell Med. 2004 Mar;30(3):301-16.

PMID:
15081077
19.

Gene selection in cancer classification using sparse logistic regression with Bayesian regularization.

Cawley GC, Talbot NL.

Bioinformatics. 2006 Oct 1;22(19):2348-55. Epub 2006 Jul 14.

PMID:
16844704
20.

Multilevel mixture cure models with random effects.

Lai X, Yau KK.

Biom J. 2009 Jun;51(3):456-66. doi: 10.1002/bimj.200800222.

PMID:
19588451

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