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A novel integrated QSP model of in vivo human glucose regulation to support the development of a glucagon/GLP-1 dual agonist.

CPT: pharmacometrics & systems pharmacology

Bosch R, Petrone M, Arends R, Vicini P, Sijbrands EJG, Hoefman S, Snelder N.
PMID: 34889083
CPT Pharmacometrics Syst Pharmacol. 2021 Dec 09; doi: 10.1002/psp4.12752. Epub 2021 Dec 09.

Glucagon-like peptide-1 (GLP-1) receptor agonists (GLP-1RAs) and dual GLP-1/glucagon receptor agonists improve glycaemic control and cause significant weight loss in patients with type 2 diabetes.

Cite
Bosch R, Petrone M, Arends R, et al. A novel integrated QSP model of in vivo human glucose regulation to support the development of a glucagon/GLP-1 dual agonist. CPT Pharmacometrics Syst Pharmacol. 2021;doi: 10.1002/psp4.12752.
Bosch, R., Petrone, M., Arends, R., Vicini, P., Sijbrands, E. J. G., Hoefman, S., & Snelder, N. (2021). A novel integrated QSP model of in vivo human glucose regulation to support the development of a glucagon/GLP-1 dual agonist. CPT: pharmacometrics & systems pharmacology, . https://doi.org/10.1002/psp4.12752
Bosch, Rolien, et al. "A novel integrated QSP model of in vivo human glucose regulation to support the development of a glucagon/GLP-1 dual agonist." CPT: pharmacometrics & systems pharmacology vol. (2021). doi: https://doi.org/10.1002/psp4.12752
Bosch R, Petrone M, Arends R, Vicini P, Sijbrands EJG, Hoefman S, Snelder N. A novel integrated QSP model of in vivo human glucose regulation to support the development of a glucagon/GLP-1 dual agonist. CPT Pharmacometrics Syst Pharmacol. 2021 Dec 09; doi: 10.1002/psp4.12752. Epub 2021 Dec 09. PMID: 34889083.
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Use of the p-values as a size-dependent function to address practical differences when analyzing large datasets.

Scientific reports

Gómez-de-Mariscal E, Guerrero V, Sneider A, Jayatilaka H, Phillip JM, Wirtz D, Muñoz-Barrutia A.
PMID: 34686696
Sci Rep. 2021 Oct 22;11(1):20942. doi: 10.1038/s41598-021-00199-5.

Biomedical research has come to rely on p-values as a deterministic measure for data-driven decision-making. In the largely extended null hypothesis significance testing for identifying statistically significant differences among groups of observations, a single p-value is computed from sample...

Cite
Gómez-de-Mariscal E, Guerrero V, Sneider A, et al. Use of the p-values as a size-dependent function to address practical differences when analyzing large datasets. Sci Rep. 2021;11(1):20942doi: 10.1038/s41598-021-00199-5.
Gómez-de-Mariscal, E., Guerrero, V., Sneider, A., Jayatilaka, H., Phillip, J. M., Wirtz, D., & Muñoz-Barrutia, A. (2021). Use of the p-values as a size-dependent function to address practical differences when analyzing large datasets. Scientific reports, 11(1), 20942. https://doi.org/10.1038/s41598-021-00199-5
Gómez-de-Mariscal, Estibaliz, et al. "Use of the p-values as a size-dependent function to address practical differences when analyzing large datasets." Scientific reports vol. 11,1 (2021): 20942. doi: https://doi.org/10.1038/s41598-021-00199-5
Gómez-de-Mariscal E, Guerrero V, Sneider A, Jayatilaka H, Phillip JM, Wirtz D, Muñoz-Barrutia A. Use of the p-values as a size-dependent function to address practical differences when analyzing large datasets. Sci Rep. 2021 Oct 22;11(1):20942. doi: 10.1038/s41598-021-00199-5. PMID: 34686696; PMCID: PMC8536742.
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Showing 49 to 50 of 50 entries