The ascertained loci revealed significantly more variable sites (described in Text S1) and more haplotype diversity (ke3, P<0.05) than the typing loci (Table 1).
We ascertained that females had significantly higher levels of MDA in the red gastrocnemius (32%, P = 0.042), but that there were no sex differences in MDA in the white gastrocnemius or in PC levels for either muscle.
Micrographia ascertained on history correlated significantly with disease severity (Hoehn & Yahr stage), motor impairment (Unified Parkinson's Disease Rating Scale), cognitive impairment (MMSE) and both bradykinesia and hypophonia determined by history and quantitative testing.
However, the gas flow effect range is outside the scope of this study because the objective of this study is to ascertain which parameters significantly affect the ejection and landing conditions.
Binary logistic regression analysis was carried out to ascertain which variables significantly influence the utilisation of support groups.
In order to ascertain which variables significantly influence the utilisation of day care, binary logistic regression analysis was carried out.
We used Kaplan Meier survival analysis to ascertain which variables significantly distinguished subsequent length of stay (log-rank Mantel-Cox X) and Cox regression (proportional hazards) for further modelling of factors influencing length of stay [ 59].
This study uses EPR data to ascertain which variables significantly affect LoS and, using these, produces a model to predict future LoS, helping to improve resource planning and enabling the creation of a decision support tool to be used for improving patient expectations.
We first tested for differences between groups (Baltic coast, coastal lakes, inland no predators, inland predators) using a general linear mixed model (GLMM) using group as a fixed factor and population nested within group as a random factor to ascertain whether groups significantly differed in standard length and the number of dorsal spines.
Additional factors were gender and age factored initially into eight groups (<1, 1 4, 5 9, 10 14, 15 24, 25 39, 40 59 and 60+ years of age); if age was overall significant in the minimum adequate model, age groups were combined when not significantly different as ascertained by t-test and the final statistical model applied.
