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Export Reference (APA) 
Teodoro, M. F., Andrade, M. A. P. & Oliveira, T. A. (2024). Crossover design on the bioequivalence of pharmaceuticals: A case of study. In Osvaldo Gervasi, Beniamino Murgante, Chiara Garau, David Taniar, Ana Maria A. C. Rocha, Maria Noelia Faginas Lago (Ed.), Computational Science and Its Applications – ICCSA 2024 Workshops.  ICCSA 2024. Lecture Notes in Computer Science. (pp. 219-234). Hanoi: Springer.
Export Reference (IEEE) 
M. F. Teodoro et al.,  "Crossover design on the bioequivalence of pharmaceuticals: A case of study", in Computational Science and Its Applications – ICCSA 2024 Workshops.  ICCSA 2024. Lecture Notes in Computer Science, Osvaldo Gervasi, Beniamino Murgante, Chiara Garau, David Taniar, Ana Maria A. C. Rocha, Maria Noelia Faginas Lago, Ed., Hanoi, Springer, 2024, vol. 14816, pp. 219-234
Export BibTeX 
@inproceedings{teodoro2024_1764926835344,
	author = "Teodoro, M. F. and Andrade, M. A. P. and Oliveira, T. A.",
	title = "Crossover design on the bioequivalence of pharmaceuticals: A case of study",
	booktitle = "Computational Science and Its Applications – ICCSA 2024 Workshops.  ICCSA 2024. Lecture Notes in Computer Science",
	year = "2024",
	editor = "Osvaldo Gervasi, Beniamino Murgante, Chiara Garau, David Taniar, Ana Maria A. C. Rocha, Maria Noelia Faginas Lago",
	volume = "14816",
	number = "",
	series = "",
	doi = "10.1007/978-3-031-65223-3_15",
	pages = "219-234",
	publisher = "Springer",
	address = "Hanoi",
	organization = "",
	url = "https://2024.iccsa.org/"
}
Export RIS 
TY  - CPAPER
TI  - Crossover design on the bioequivalence of pharmaceuticals: A case of study
T2  - Computational Science and Its Applications – ICCSA 2024 Workshops.  ICCSA 2024. Lecture Notes in Computer Science
VL  - 14816
AU  - Teodoro, M. F.
AU  - Andrade, M. A. P.
AU  - Oliveira, T. A.
PY  - 2024
SP  - 219-234
SN  - 0302-9743
DO  - 10.1007/978-3-031-65223-3_15
CY  - Hanoi
UR  - https://2024.iccsa.org/
AB  - This study performs experimental design and analysis of variance in assessing the bioequivalence of two treatments, which involves evaluating the efficacy of different treatments administered to two distinct cohorts of patients: the control group and the test group. In order to compare the control group that received the reference medication, with the test/treatment group that received the investigational drug, a crossover experimental design was employed. The respective analysis
of variance was conducted, taking into consideration both intra-subject and inter-subject variability in formulating the probabilistic model. This included specifying tests to detect carryover effects and period effects. The practical implementation of the proposed model involved validating
the hypothesis, revealing that the carry-over effect was found to be not significant, when assessed at the usual levels of significance (1% and 5%). In terms of the treatments, it was concluded that there was statistical significance, leading to the assertion that the studied pharmaceuticals were not bioequivalent. 
ER  -