349 related articles for article (PubMed ID: 27842498)
1. Least absolute shrinkage and selection operator type methods for the identification of serum biomarkers of overweight and obesity: simulation and application.
Vasquez MM; Hu C; Roe DJ; Chen Z; Halonen M; Guerra S
BMC Med Res Methodol; 2016 Nov; 16(1):154. PubMed ID: 27842498
[TBL] [Abstract][Full Text] [Related]
2. Logistic LASSO and Elastic Net to Characterize Vitamin D Deficiency in a Hypertensive Obese Population.
Garcia-Carretero R; Vigil-Medina L; Barquero-Perez O; Mora-Jimenez I; Soguero-Ruiz C; Goya-Esteban R; Ramos-Lopez J
Metab Syndr Relat Disord; 2020 Mar; 18(2):79-85. PubMed ID: 31928513
[No Abstract] [Full Text] [Related]
3. Measurement error correction in the least absolute shrinkage and selection operator model when validation data are available.
Vasquez MM; Hu C; Roe DJ; Halonen M; Guerra S
Stat Methods Med Res; 2019 Mar; 28(3):670-680. PubMed ID: 29166842
[TBL] [Abstract][Full Text] [Related]
4. Biomarkers associated with obesity and overweight in the Roma population residing in eastern Slovakia.
Petrásová D; Bertková I; Petrásová M; Hijová E; Mareková M; Babinská I; Jarcuska P; Pella D; Gecková AM;
Cent Eur J Public Health; 2014 Mar; 22 Suppl():S18-21. PubMed ID: 24847609
[TBL] [Abstract][Full Text] [Related]
5. VSOLassoBag: a variable-selection oriented LASSO bagging algorithm for biomarker discovery in omic-based translational research.
Liang J; Wang C; Zhang D; Xie Y; Zeng Y; Li T; Zuo Z; Ren J; Zhao Q
J Genet Genomics; 2023 Mar; 50(3):151-162. PubMed ID: 36608930
[TBL] [Abstract][Full Text] [Related]
6. Identifying the Prognosis Factors in Death after Liver Transplantation via Adaptive LASSO in Iran.
Raeisi Shahraki H; Pourahmad S; Ayatollahi SM
J Environ Public Health; 2016; 2016():7620157. PubMed ID: 27648080
[TBL] [Abstract][Full Text] [Related]
7. Analysis of the relationship of leptin, high-sensitivity C-reactive protein, adiponectin, insulin, and uric acid to metabolic syndrome in lean, overweight, and obese young females.
Abdullah AR; Hasan HA; Raigangar VL
Metab Syndr Relat Disord; 2009 Feb; 7(1):17-22. PubMed ID: 19025443
[TBL] [Abstract][Full Text] [Related]
8. Predicting radiation-induced valvular heart damage.
Cella L; Oh JH; Deasy JO; Palma G; Liuzzi R; D'avino V; Conson M; Picardi M; Salvatore M; Pacelli R
Acta Oncol; 2015 Nov; 54(10):1796-804. PubMed ID: 25800857
[TBL] [Abstract][Full Text] [Related]
9. Application and impact of Lasso regression in gastroenterology: A systematic review.
Ali H; Shahzad M; Sarfraz S; Sewell KB; Alqalyoobi S; Mohan BP
Indian J Gastroenterol; 2023 Dec; 42(6):780-790. PubMed ID: 37594652
[TBL] [Abstract][Full Text] [Related]
10. Screening the Influence of Biomarkers for Metabolic Syndrome in Occupational Population Based on the Lasso Algorithm.
Xie QY; Wang MW; Hu ZY; Cao CJ; Wang C; Kang JY; Fu XY; Zhang XW; Chu YM; Feng ZH; Cheng YR
Front Public Health; 2021; 9():743731. PubMed ID: 34712642
[No Abstract] [Full Text] [Related]
11. Recursive Random Forests Enable Better Predictive Performance and Model Interpretation than Variable Selection by LASSO.
Zhu XW; Xin YJ; Ge HL
J Chem Inf Model; 2015 Apr; 55(4):736-46. PubMed ID: 25746224
[TBL] [Abstract][Full Text] [Related]
12. Overweight, hypertension and cardiovascular disease: focus on adipocytokines, insulin, weight changes and natriuretic peptides.
Seven E
Dan Med J; 2015 Nov; 62(11):B5163. PubMed ID: 26522487
[TBL] [Abstract][Full Text] [Related]
13. The LASSO and sparse least square regression methods for SNP selection in predicting quantitative traits.
Feng ZZ; Yang X; Subedi S; McNicholas PD
IEEE/ACM Trans Comput Biol Bioinform; 2012; 9(2):629-36. PubMed ID: 22025756
[TBL] [Abstract][Full Text] [Related]
14. Teaching a Machine to Feel Postoperative Pain: Combining High-Dimensional Clinical Data with Machine Learning Algorithms to Forecast Acute Postoperative Pain.
Tighe PJ; Harle CA; Hurley RW; Aytug H; Boezaart AP; Fillingim RB
Pain Med; 2015 Jul; 16(7):1386-401. PubMed ID: 26031220
[TBL] [Abstract][Full Text] [Related]
15. Preventing Heterotopic Ossification in Combat Casualties-Which Models Are Best Suited for Clinical Use?
Alfieri KA; Potter BK; Davis TA; Wagner MB; Elster EA; Forsberg JA
Clin Orthop Relat Res; 2015 Sep; 473(9):2807-13. PubMed ID: 25917420
[TBL] [Abstract][Full Text] [Related]
16. Metabolic and inflammatory profiles of biomarkers in obesity, metabolic syndrome, and diabetes in a Mediterranean population. DARIOS Inflammatory study.
Fernández-Bergés D; Consuegra-Sánchez L; Peñafiel J; Cabrera de León A; Vila J; Félix-Redondo FJ; Segura-Fragoso A; Lapetra J; Guembe MJ; Vega T; Fitó M; Elosua R; Díaz O; Marrugat J
Rev Esp Cardiol (Engl Ed); 2014 Aug; 67(8):624-31. PubMed ID: 25037541
[TBL] [Abstract][Full Text] [Related]
17. Assessment of adiponectin and leptin as biomarkers of positive metabolic outcomes after lifestyle intervention in overweight and obese children.
Cambuli VM; Musiu MC; Incani M; Paderi M; Serpe R; Marras V; Cossu E; Cavallo MG; Mariotti S; Loche S; Baroni MG
J Clin Endocrinol Metab; 2008 Aug; 93(8):3051-7. PubMed ID: 18492759
[TBL] [Abstract][Full Text] [Related]
18. High-dimensional Cox models: the choice of penalty as part of the model building process.
Benner A; Zucknick M; Hielscher T; Ittrich C; Mansmann U
Biom J; 2010 Feb; 52(1):50-69. PubMed ID: 20166132
[TBL] [Abstract][Full Text] [Related]
19. Identification of biomarker-by-treatment interactions in randomized clinical trials with survival outcomes and high-dimensional spaces.
Ternès N; Rotolo F; Heinze G; Michiels S
Biom J; 2017 Jul; 59(4):685-701. PubMed ID: 27862181
[TBL] [Abstract][Full Text] [Related]
20. Evaluation of the lasso and the elastic net in genome-wide association studies.
Waldmann P; Mészáros G; Gredler B; Fuerst C; Sölkner J
Front Genet; 2013; 4():270. PubMed ID: 24363662
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]