Faes C - Search Results

1

A linear mixed model to estimate COVID-19-induced excess mortality.

Verbeeck J, Faes C, Neyens T, Hens N, Verbeke G, Deboosere P, Molenberghs G. Verbeeck J, et al. Among authors: faes c. Biometrics. 2023 Mar;79(1):417-425. doi: 10.1111/biom.13578. Epub 2021 Nov 22. Biometrics. 2023. PMID: 34694627 Free PMC article.

2

Model averaging using fractional polynomials to estimate a safe level of exposure.

Faes C, Aerts M, Geys H, Molenberghs G. Faes C, et al. Risk Anal. 2007 Feb;27(1):111-23. doi: 10.1111/j.1539-6924.2006.00863.x. Risk Anal. 2007. PMID: 17362404

3

A high-dimensional joint model for longitudinal outcomes of different nature.

Faes C, Aerts M, Molenberghs G, Geys H, Teuns G, Bijnens L. Faes C, et al. Stat Med. 2008 Sep 30;27(22):4408-27. doi: 10.1002/sim.3314. Stat Med. 2008. PMID: 18551509

4

Analysis of cross-over designs with serial correlation within periods using semi-parametric mixed models.

Maringwa JT, Geys H, Shkedy Z, Faes C, Molenberghs G, Aerts M, Van Ammel K, Teisman A, Bijnens L. Maringwa JT, et al. Among authors: faes c. Stat Med. 2008 Dec 10;27(28):6009-33. doi: 10.1002/sim.3363. Stat Med. 2008. PMID: 18613252

5

Application of semiparametric mixed models and simultaneous confidence bands in a cardiovascular safety experiment with longitudinal data.

Maringwa JT, Geys H, Shkedy Z, Faes C, Molenberghs G, Aerts M, Ammel KV, Teisman A, Bijnens L. Maringwa JT, et al. Among authors: faes c. J Biopharm Stat. 2008;18(6):1043-62. doi: 10.1080/10543400802368881. J Biopharm Stat. 2008. PMID: 18991107

6

Application of penalized splines in analyzing neuronal data.

Maringwa JT, Faes C, Geys H, Molenberghs G, Cadarso-Suárez C, Pardo-Vázquez JL, Leborán V, Acunña C. Maringwa JT, et al. Among authors: faes c. Biom J. 2009 Feb;51(1):203-16. doi: 10.1002/bimj.200810501. Biom J. 2009. PMID: 19197962

7

Spatial analysis of breast and cervical cancer incidence in small geographical areas in Cuba, 1999-2003.

Lorenzo-Luaces Alvarez P, Guerra-Yi ME, Faes C, Galán Alvarez Y, Molenberghs G. Lorenzo-Luaces Alvarez P, et al. Among authors: faes c. Eur J Cancer Prev. 2009 Sep;18(5):395-403. doi: 10.1097/CEJ.0b013e32832f9b93. Eur J Cancer Prev. 2009. PMID: 19609213 Free article.

8

Seventy-five years of estimating the force of infection from current status data.

Hens N, Aerts M, Faes C, Shkedy Z, Lejeune O, Van Damme P, Beutels P. Hens N, et al. Among authors: faes c. Epidemiol Infect. 2010 Jun;138(6):802-12. doi: 10.1017/S0950268809990781. Epub 2009 Sep 21. Epidemiol Infect. 2010. PMID: 19765352

9

European Surveillance of Antimicrobial Consumption (ESAC): outpatient penicillin use in Europe (1997-2009).

Versporten A, Coenen S, Adriaenssens N, Muller A, Minalu G, Faes C, Vankerckhoven V, Aerts M, Hens N, Molenberghs G, Goossens H; ESAC Project Group. Versporten A, et al. Among authors: faes c. J Antimicrob Chemother. 2011 Dec;66 Suppl 6:vi13-23. doi: 10.1093/jac/dkr454. J Antimicrob Chemother. 2011. PMID: 22096062

10

European Surveillance of Antimicrobial Consumption (ESAC): outpatient cephalosporin use in Europe (1997-2009).

Versporten A, Coenen S, Adriaenssens N, Muller A, Minalu G, Faes C, Vankerckhoven V, Aerts M, Hens N, Molenberghs G, Goossens H; ESAC Project Group. Versporten A, et al. Among authors: faes c. J Antimicrob Chemother. 2011 Dec;66 Suppl 6:vi25-35. doi: 10.1093/jac/dkr455. J Antimicrob Chemother. 2011. PMID: 22096063

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