Cadarso-Suárez C - Search Results

1

Modeling conditional reference regions: Application to glycemic markers.

Lado-Baleato Ó, Roca-Pardiñas J, Cadarso-Suárez C, Gude F. Lado-Baleato Ó, et al. Among authors: cadarso suarez c. Stat Med. 2021 Nov 20;40(26):5926-5946. doi: 10.1002/sim.9163. Epub 2021 Aug 15. Stat Med. 2021. PMID: 34396576

2

Assessing the relationship between markers of glycemic control through flexible copula regression models.

Espasandín-Domínguez J, Cadarso-Suárez C, Kneib T, Marra G, Klein N, Radice R, Lado-Baleato O, González-Quintela A, Gude F. Espasandín-Domínguez J, et al. Stat Med. 2019 Nov 30;38(27):5161-5181. doi: 10.1002/sim.8358. Epub 2019 Oct 7. Stat Med. 2019. PMID: 31588584

3

Non-parametric estimation of the odds ratios for continuous exposures using generalized additive models with an unknown link function.

Cadarso-Suárez C, Roca-Pardiñas J, Figueiras A, González-Manteiga W. Cadarso-Suárez C, et al. Stat Med. 2005 Apr 30;24(8):1169-84. doi: 10.1002/sim.1978. Stat Med. 2005. PMID: 15558831

4

Effect measures in non-parametric regression with interactions between continuous exposures.

Cadarso-Suárez C, Roca-Pardiñas J, Figueiras A. Cadarso-Suárez C, et al. Stat Med. 2006 Feb 28;25(4):603-21. doi: 10.1002/sim.2356. Stat Med. 2006. PMID: 16220482

5

Bootstrap-based methods for testing factor-by-curve interactions in generalized additive models: assessing prefrontal cortex neural activity related to decision-making.

Roca-Pardiñas J, Cadarso-Suárez C, Nácher V, Acuña C. Roca-Pardiñas J, et al. Stat Med. 2006 Jul 30;25(14):2483-501. doi: 10.1002/sim.2415. Stat Med. 2006. PMID: 16287203

6

Selecting variables in non-parametric regression models for binary response. An application to the computerized detection of breast cancer.

Roca-Pardiñas J, Cadarso-Suárez C, Tahoces PG, Lado MJ. Roca-Pardiñas J, et al. Stat Med. 2009 Jan 30;28(2):240-59. doi: 10.1002/sim.3472. Stat Med. 2009. PMID: 18991258

7

Assessing neural activity related to decision-making through flexible odds ratio curves and their derivatives.

Roca-Pardiñas J, Cadarso-Suárez C, Pardo-Vazquez JL, Leboran V, Molenberghs G, Faes C, Acuña C. Roca-Pardiñas J, et al. Stat Med. 2011 Jun 30;30(14):1695-711. doi: 10.1002/sim.4220. Epub 2011 Mar 24. Stat Med. 2011. PMID: 21433050

8

smoothHR: an R package for pointwise nonparametric estimation of hazard ratio curves of continuous predictors.

Meira-Machado L, Cadarso-Suárez C, Gude F, Araújo A. Meira-Machado L, et al. Comput Math Methods Med. 2013;2013:745742. doi: 10.1155/2013/745742. Epub 2013 Dec 12. Comput Math Methods Med. 2013. PMID: 24454541 Free PMC article.

9

Glycemic Variability and Its Association With Demographics and Lifestyles in a General Adult Population.

Gude F, Díaz-Vidal P, Rúa-Pérez C, Alonso-Sampedro M, Fernández-Merino C, Rey-García J, Cadarso-Suárez C, Pazos-Couselo M, García-López JM, Gonzalez-Quintela A. Gude F, et al. J Diabetes Sci Technol. 2017 Jul;11(4):780-790. doi: 10.1177/1932296816682031. Epub 2016 Dec 13. J Diabetes Sci Technol. 2017. PMID: 28317402 Free PMC article.

10

Bootstrap-based procedures for inference in nonparametric receiver-operating characteristic curve regression analysis.

Rodríguez-Álvarez MX, Roca-Pardiñas J, Cadarso-Suárez C, Tahoces PG. Rodríguez-Álvarez MX, et al. Stat Methods Med Res. 2018 Mar;27(3):740-764. doi: 10.1177/0962280217742542. Epub 2017 Dec 12. Stat Methods Med Res. 2018. PMID: 29233083

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