Recent developments of multivariate multiple comparisons among mean vectors

Nishiyama, Takahiro; Hyodo, Masashi; Seo, Takashi

doi:10.55937/sut/1424793883

Cited by 1 publication

(2 citation statements)

References 37 publications

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“…The plots in Figure 9 display the pairwise contrast estimates and simultaneous confidence intervals for pairwise differences (contrasts) between lunar phases by COVID-19 status and vital signs [16][17][18]. If an interval does not contain 0 (vertical line in plots), the contrast is statistically significant.…”

Section: Lunar Phase By Covid-19 Status Pairwise Comparisonsmentioning

confidence: 99%

“…If an interval does not contain 0 (vertical line in plots), the contrast is statistically significant. The associated numerical estimates and multiple comparison-adjusted p-values are given in Table 6 [16][17][18]. As can be seen in Table 6, 22.2% of the p-values of COVID-19 statuses pairwise show a statistical significance of less than 0.05.…”

Section: Covid-19 Status By Lunar Phase Pairwise Comparisonsmentioning

confidence: 99%

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A Markov Chain Monte Carlo (MCMC) Multivariate Analysis of the Association of Vital Parameter Variation With the Lunar Cycle in Patients Hospitalized With COVID-19

Koya¹,

Ponnam²,

Salenius³

et al. 2023

Cureus

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Introduction: Over the last three years, the world has been battling a long-drawn pandemic resulting from the coronavirus outbreak. Despite the safety measures, there have been multiple pandemic waves happening throughout the world. Therefore, it is necessary to understand the fundamental characteristics of COVID-19 transmission and pathogenesis to overcome the threat of the pandemic. This study focused on hospitalized COVID-19 patients because of their high mortality rate, which indicates the need to improve inpatient management.Methods: Based on the cyclic nature of the pandemic, observations were made to examine the influence of lunar phases on six vital parameters of COVID-19 patients. A multivariate analysis was carried out to study the interactions of lunar phase pairwise on COVID-19 statuses and COVID-19 status pairwise on lunar phases by treating six vital parameters as independent entities.Results: The results of multivariate analysis on the data of 215,220 vital values showed that lunar phases are associated with trends in variations in the vital parameters of COVID-19-infected patients.Conclusion: In summary, our results show that patients infected with COVID-19 appear to be more susceptible to lunar influence compared to non-COVID-19 patients. Furthermore, this study shows a vital parameter destabilization window (DSW) that can help identify which hospitalized COVID-19 patients can recover. Our pilot study forms the basis for future studies to eventually establish the incorporation of variation of vital signs with the lunar cycle into the standard of care for COVID-19 patients.

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Section: Lunar Phase By Covid-19 Status Pairwise Comparisonsmentioning

confidence: 99%

Section: Covid-19 Status By Lunar Phase Pairwise Comparisonsmentioning

confidence: 99%