144 related articles for article (PubMed ID: 25568281)
21. A two-part mixed-effects model for analyzing longitudinal microbiome compositional data.
Chen EZ; Li H
Bioinformatics; 2016 Sep; 32(17):2611-7. PubMed ID: 27187200
[TBL] [Abstract][Full Text] [Related]
22. Prognostic modelling with logistic regression analysis: a comparison of selection and estimation methods in small data sets.
Steyerberg EW; Eijkemans MJ; Harrell FE; Habbema JD
Stat Med; 2000 Apr; 19(8):1059-79. PubMed ID: 10790680
[TBL] [Abstract][Full Text] [Related]
23. A systematic comparison of statistical methods to detect interactions in exposome-health associations.
Barrera-Gómez J; Agier L; Portengen L; Chadeau-Hyam M; Giorgis-Allemand L; Siroux V; Robinson O; Vlaanderen J; González JR; Nieuwenhuijsen M; Vineis P; Vrijheid M; Vermeulen R; Slama R; Basagaña X
Environ Health; 2017 Jul; 16(1):74. PubMed ID: 28709428
[TBL] [Abstract][Full Text] [Related]
24. Measuring the gut microbiome in birds: Comparison of faecal and cloacal sampling.
Videvall E; Strandh M; Engelbrecht A; Cloete S; Cornwallis CK
Mol Ecol Resour; 2018 May; 18(3):424-434. PubMed ID: 29205893
[TBL] [Abstract][Full Text] [Related]
25. Gut microbiome in sudden infant death syndrome (SIDS) differs from that in healthy comparison babies and offers an explanation for the risk factor of prone position.
Highet AR; Berry AM; Bettelheim KA; Goldwater PN
Int J Med Microbiol; 2014 Jul; 304(5-6):735-41. PubMed ID: 24951305
[TBL] [Abstract][Full Text] [Related]
26. Building interpretable predictive models for pediatric hospital readmission using Tree-Lasso logistic regression.
Jovanovic M; Radovanovic S; Vukicevic M; Van Poucke S; Delibasic B
Artif Intell Med; 2016 Sep; 72():12-21. PubMed ID: 27664505
[TBL] [Abstract][Full Text] [Related]
27. Using decision trees to understand structure in missing data.
Tierney NJ; Harden FA; Harden MJ; Mengersen KL
BMJ Open; 2015 Jun; 5(6):e007450. PubMed ID: 26124509
[TBL] [Abstract][Full Text] [Related]
28. Improved Variable Selection Algorithm Using a LASSO-Type Penalty, with an Application to Assessing Hepatitis B Infection Relevant Factors in Community Residents.
Guo P; Zeng F; Hu X; Zhang D; Zhu S; Deng Y; Hao Y
PLoS One; 2015; 10(7):e0134151. PubMed ID: 26214802
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. Application of Bayesian least absolute shrinkage and selection operator (LASSO) and BayesCπ methods for genomic selection in French Holstein and Montbéliarde breeds.
Colombani C; Legarra A; Fritz S; Guillaume F; Croiseau P; Ducrocq V; Robert-Granié C
J Dairy Sci; 2013 Jan; 96(1):575-91. PubMed ID: 23127905
[TBL] [Abstract][Full Text] [Related]
31. Bacterial microbiome of Coptotermes curvignathus (Isoptera: Rhinotermitidae) reflects the coevolution of species and dietary pattern.
King JH; Mahadi NM; Bong CF; Ong KH; Hassan O
Insect Sci; 2014 Oct; 21(5):584-96. PubMed ID: 24123989
[TBL] [Abstract][Full Text] [Related]
32. A systematic evaluation of high-dimensional, ensemble-based regression for exploring large model spaces in microbiome analyses.
Shankar J; Szpakowski S; Solis NV; Mounaud S; Liu H; Losada L; Nierman WC; Filler SG
BMC Bioinformatics; 2015 Feb; 16():31. PubMed ID: 25638274
[TBL] [Abstract][Full Text] [Related]
33. A general framework for association analysis of microbial communities on a taxonomic tree.
Tang ZZ; Chen G; Alekseyenko AV; Li H
Bioinformatics; 2017 May; 33(9):1278-1285. PubMed ID: 28003264
[TBL] [Abstract][Full Text] [Related]
34. Feature selection and validated predictive performance in the domain of Legionella pneumophila: a comparative study.
van der Ploeg T; Steyerberg EW
BMC Res Notes; 2016 Mar; 9():147. PubMed ID: 26951763
[TBL] [Abstract][Full Text] [Related]
35. Predicting the incidence of portosplenomesenteric vein thrombosis in patients with acute pancreatitis using classification and regression tree algorithm.
Fei Y; Gao K; Hu J; Tu J; Li WQ; Wang W; Zong GQ
J Crit Care; 2017 Jun; 39():124-130. PubMed ID: 28254727
[TBL] [Abstract][Full Text] [Related]
36. Histologic Factors Associated With Need for Surgery in Patients With Pedunculated T1 Colorectal Carcinomas.
Backes Y; Elias SG; Groen JN; Schwartz MP; Wolfhagen FHJ; Geesing JMJ; Ter Borg F; van Bergeijk J; Spanier BWM; de Vos Tot Nederveen Cappel WH; Kessels K; Seldenrijk CA; Raicu MG; Drillenburg P; Milne AN; Kerkhof M; Seerden TCJ; Siersema PD; Vleggaar FP; Offerhaus GJA; Lacle MM; Moons LMG;
Gastroenterology; 2018 May; 154(6):1647-1659. PubMed ID: 29366842
[TBL] [Abstract][Full Text] [Related]
37. Classification tree prediction models for dental caries from clinical, microbiological, and interview data.
Stewart PW; Stamm JW
J Dent Res; 1991 Sep; 70(9):1239-51. PubMed ID: 1918574
[TBL] [Abstract][Full Text] [Related]
38. The altered gut microbiota in adults with cystic fibrosis.
Burke DG; Fouhy F; Harrison MJ; Rea MC; Cotter PD; O'Sullivan O; Stanton C; Hill C; Shanahan F; Plant BJ; Ross RP
BMC Microbiol; 2017 Mar; 17(1):58. PubMed ID: 28279152
[TBL] [Abstract][Full Text] [Related]
39. Negative binomial mixed models for analyzing microbiome count data.
Zhang X; Mallick H; Tang Z; Zhang L; Cui X; Benson AK; Yi N
BMC Bioinformatics; 2017 Jan; 18(1):4. PubMed ID: 28049409
[TBL] [Abstract][Full Text] [Related]
40. Integrated multi-omics of the human gut microbiome in a case study of familial type 1 diabetes.
Heintz-Buschart A; May P; Laczny CC; Lebrun LA; Bellora C; Krishna A; Wampach L; Schneider JG; Hogan A; de Beaufort C; Wilmes P
Nat Microbiol; 2016 Oct; 2():16180. PubMed ID: 27723761
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
