Further, there was no significant effect of maternal carapace length on survival (coefficient = 0.0268, z1,332 = 0.29, P = 0.77) nor any significant interaction between maternal carapace length and any other variable in the Cox Proportional Hazards Model (P > 0.4).
However, assuming that no concomitant PCI was performed in the other studies, meta-regression showed that a policy of coronary revascularisation was associated with significantly better 2-year survival (coefficient −0.004, p=0.024).
Survival coefficients in this discrete-time survival analyses model were converted to odds ratios (ORs) for ease of interpretation; significance tests of sets of coefficients in the logistic regression models were made using Wald X2 tests based on design-corrected coefficient variance-covariance matrices.
where for each j = 1, 2, A j ∈ R + n j × n j is a companion matrix as (5) whose entries of the first row are { a i j, i = 1, …, n j }, a 1 j = f 1 j, a l j = f l j ∏ i = 1 l − 1 s i j, l = 2, …, n j, where { f i j, i = 1, …, n j } and { s i j, i = 1, …, n j − 1 } are the fertility and survival coefficients of the type or group G j, respectively.
The survival coefficients were exponentiated and are reported below in the form of ORs.
Survival coefficients were exponentiated to generate odds-ratios (ORs) and their standard errors for ease of interpretation.
Standard errors of prevalence estimates and survival coefficients were estimated using the Taylor series linearization method implemented in the SUDAAN software system.
In all analyses, standard errors of prevalence estimates and survival coefficients were estimated with the Taylor series method [ 35] using SUDAAN software [ 36] to adjust for the weighting and clustering of the SASH sample design.
Furthermore, the selection coefficient has been set between 0.02 and 0.05 for G6PD deficiency which gives advantage to survival in the malarial regions [26].
The tumoral vascular area shown higher correlation to survival (correlation coefficient: – 0.48 / P = 0.001) than the tumoral microvessel count (correlation coefficient: – 0.2 / P = 0.03).
Larger eggs had a higher chance of survival (effect coefficient = 4.93, z = 2.83, p = 0.0046).
