Barely Significant
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“marginal significance”

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Sighted at

p=0.07

Listed by Hankins (2013) · Otte et al. (2022)

In the literature

marginal significanceP<0.12.0× alphagold
In the initial univariate screening, variables with marginal significance (P<0.1) were identified as potential prognostic factors and included in the multivariate Cox regression model for further validation.
marginal significancep value = 0.102.0× alphagold
The estimator maintained marginal significance and increased in magnitude (+0.072 cases per 100 FTs, p value = 0.10) within analyses including only industries with high proportions of insured workers (>75%) but disappeared in analyses including only industries with low proportions of insured employees (+0.024 cases per 100 FTs, p value = 0.38) ( Table 3 , Fig. 3 ).
marginal significanceP < 0.102.0× alphagold
Variables that reached statistical significance ( P < 0.05) or marginal significance ( P < 0.10) in bivariate comparisons were subsequently entered into multivariate logistic regression analysis using forward and backward stepwise selection method to identify significantly independent factors associated with RVR and SVR.
marginal significancep-value <0.102.0× alphagold
As for the cases of deaths due to COVID-19, the association is observed with temporality of the epidemiological weeks (χ2 = 2599.84; df = 1; p-value <0.001), PHC coverage strata (χ2 = 24.85; df = 2; p-value <0.001), PHC quality strata (χ2 = 55.42; df = 1; p-value <0.001) and social isolation rate (χ2 = 9.48; gl = 1; p-value = 0.002) as well as the demographic density (χ2 = 3.12; df = 1; p-value = 0.07), bed/population ratio (χ2 = 2.75; df = 1; p-value = 0.09) and the quantity of COVID-19 cases (χ2 = 3.10; df = 1; p-value = 0.07) diagnosed with marginal significance ( p-value <0.10), Table 3 .