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Propensity score and instrumental variable analysis confirmed these findings.
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Moreover, to overcome the bias of unmeasured confounding factors, we also performed an instrumental variable analysis and confirmed the robustness of our results.
Multiple regression analysis confirmed that variables predicting the intra-ICU mortality were age (P = 0.047), IAP values after surgical decompression (P = 0.026) and both pre- and post-surgical lactates level (P = 0.032 and P = 0.022, respectively).
The analysis confirmed that these variables were not significantly correlated (correlation: r = 0.036, P = 0.868).
The univariable analysis confirmed that the variables in the original BALAD model are all highly prognostic (Table 3), and these factors maintained statistical significance in the resulting multivariable model (data not shown).
Initial analysis confirmed that each individual variable measured including total abdominopelvic adipose, muscle, bone and solid organ volumes positively correlated, to varying degrees with dose length product.
Principal components analysis confirmed that these site variables also influenced the composition of the ant assemblages in the rehabilitated areas.
Multi-regression analysis confirmed the causal relationship between variables and the mediating effect of excitement.
The ANOVA analysis confirmed that all of the variables have significant influence on the model response.
The nicotine concentrations indoors and at the corresponding outside entrances were not significantly different, and the multivariate analysis confirmed the relationship between these variables.
We combined the variables described above into a multivariate model, and this analysis confirmed the indications of the independent tests.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com