119 related articles for article (PubMed ID: 23243388)
21. Use of bias term in projection pursuit learning improves approximation and convergence properties.
Kwok TY; Yeung DY
IEEE Trans Neural Netw; 1996; 7(5):1168-83. PubMed ID: 18263512
[TBL] [Abstract][Full Text] [Related]
22. Prediction-based structured variable selection through the receiver operating characteristic curves.
Wang Y; Chen H; Li R; Duan N; Lewis-Fernández R
Biometrics; 2011 Sep; 67(3):896-905. PubMed ID: 21175555
[TBL] [Abstract][Full Text] [Related]
23. VARIABLE SELECTION IN LINEAR MIXED EFFECTS MODELS.
Fan Y; Li R
Ann Stat; 2012 Aug; 40(4):2043-2068. PubMed ID: 24850975
[TBL] [Abstract][Full Text] [Related]
24. Canonical Measure of Correlation (CMC) and Canonical Measure of Distance (CMD) between sets of data. Part 3. Variable selection in classification.
Ballabio D; Consonni V; Mauri A; Todeschini R
Anal Chim Acta; 2010 Jan; 657(2):116-22. PubMed ID: 20005322
[TBL] [Abstract][Full Text] [Related]
25. Interpretability of selected variables and performance comparison of variable selection methods in a polyethylene and polypropylene NIR classification task.
Sem V
Spectrochim Acta A Mol Biomol Spectrosc; 2021 Sep; 258():119850. PubMed ID: 33957449
[TBL] [Abstract][Full Text] [Related]
26. Sufficient dimension reduction via bayesian mixture modeling.
Reich BJ; Bondell HD; Li L
Biometrics; 2011 Sep; 67(3):886-95. PubMed ID: 21039398
[TBL] [Abstract][Full Text] [Related]
27. Variable selection methods for identifying predictor interactions in data with repeatedly measured binary outcomes.
Wolf BJ; Jiang Y; Wilson SH; Oates JC
J Clin Transl Sci; 2020 Nov; 5(1):e59. PubMed ID: 33948279
[TBL] [Abstract][Full Text] [Related]
28. Variable selection in nonlinear function-on-scalar regression.
Ghosal R; Maity A
Biometrics; 2023 Mar; 79(1):292-303. PubMed ID: 34528237
[TBL] [Abstract][Full Text] [Related]
29. Imputation and variable selection in linear regression models with missing covariates.
Yang X; Belin TR; Boscardin WJ
Biometrics; 2005 Jun; 61(2):498-506. PubMed ID: 16011697
[TBL] [Abstract][Full Text] [Related]
30. Variable selection for case-cohort studies with failure time outcome.
Ni AI; Cai J; Zeng D
Biometrika; 2016 Sep; 103(3):547-562. PubMed ID: 28529347
[TBL] [Abstract][Full Text] [Related]
31. Variable Selection for Partially Linear Models with Measurement Errors.
Liang H; Li R
J Am Stat Assoc; 2009; 104(485):234-248. PubMed ID: 20046976
[TBL] [Abstract][Full Text] [Related]
32. Regression with empirical variable selection: description of a new method and application to ecological datasets.
Goodenough AE; Hart AG; Stafford R
PLoS One; 2012; 7(3):e34338. PubMed ID: 22479605
[TBL] [Abstract][Full Text] [Related]
33. Variable Selection in Nonparametric Varying-Coefficient Models for Analysis of Repeated Measurements.
Wang L; Li H; Huang JZ
J Am Stat Assoc; 2008 Dec; 103(484):1556-1569. PubMed ID: 20054431
[TBL] [Abstract][Full Text] [Related]
34. An empirical approach to model selection through validation for censored survival data.
Choi I; Wells BJ; Yu C; Kattan MW
J Biomed Inform; 2011 Aug; 44(4):595-606. PubMed ID: 21335102
[TBL] [Abstract][Full Text] [Related]
35. Robust approach for variable selection with high dimensional longitudinal data analysis.
Fu L; Li J; Wang YG
Stat Med; 2021 Dec; 40(30):6835-6854. PubMed ID: 34619808
[TBL] [Abstract][Full Text] [Related]
36. Bayesian sparse multiple regression for simultaneous rank reduction and variable selection.
Chakraborty A; Bhattacharya A; Mallick BK
Biometrika; 2020 Mar; 107(1):205-221. PubMed ID: 33100350
[TBL] [Abstract][Full Text] [Related]
37. Differences in postural control between healthy and subjects with chronic ankle instability.
Esteves J; Dinis R; Fernandes O; Castro MA; Oliveira R; Pezarat-Correia P
Phys Ther Sport; 2022 Jul; 56():8-14. PubMed ID: 35691246
[TBL] [Abstract][Full Text] [Related]
38. VARIABLE SELECTION AND ESTIMATION IN HIGH-DIMENSIONAL VARYING-COEFFICIENT MODELS.
Wei F; Huang J; Li H
Stat Sin; 2011 Oct; 21(4):1515-1540. PubMed ID: 24478564
[TBL] [Abstract][Full Text] [Related]
39. Assessing the accuracy and stability of variable selection methods for random forest modeling in ecology.
Fox EW; Hill RA; Leibowitz SG; Olsen AR; Thornbrugh DJ; Weber MH
Environ Monit Assess; 2017 Jul; 189(7):316. PubMed ID: 28589457
[TBL] [Abstract][Full Text] [Related]
40. Reliability of traditional and fractal dimension measures of quiet stance center of pressure in young, healthy people.
Doyle TL; Newton RU; Burnett AF
Arch Phys Med Rehabil; 2005 Oct; 86(10):2034-40. PubMed ID: 16213250
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]