Barely Significant

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highly significantP <0.00010.0× alphaqualifiedgold
All correlations remained highly significant ( P <0.0001) after controlling for ethnicity, socioeconomic status, birth weight, placental weight, gestational age at delivery, parity, tobacco smoking status (0, 1–10 or >11 cigarettes smoked per day), labor onset, labor induction, labor duration, oxytocin administration, tocolytic administration, antenatal steroid administration, APH, PTB, and PROM in multiple regression analysis.
highly significantP < 0.00010.0× alphaqualifiedgold
When compared to the PCAs ( S1 and S2 Figs) computed separately on the same data, the major shape and genetic PLS axes appear nearly identical to the corresponding first principal components (microsatellite PC1 = 23.35%, shape PC1 = 22.22%), with pairwise correlations displaying values greater than 0.98 and highly significant ( P < 0.0001).
highly significantp < 0.00010.0× alphaqualifiedgold
Age is also highly significant (younger p < 0.0001 in univariate analysis), as is the prevalence of socioeconomic disadvantage in the local area where respondents live (less disadvantage p = 0.0006 in univariate analysis), but both become non-significant in multivariate analysis, i.e. when analysed in the context of the other independent variables.
borderline significantp<0.00010.0× alphagold
Relative to central hospitals, patients at hospitals in the most peripheral quartile had significantly higher odds of death, but patients at hospitals in quartile 2 were no different from the reference, and those in quartile 3 were borderline significant for reduced mortality (OR (95% CI): Q1 2.10 (1.76–2.51), p<0.0001; Q2 1.00 (0.87–1.15), p = 0.997; Q3 0.89 (0.79–1.00), p = 0.050; Q4 (reference)).