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All survival replicates were checked for consistency prior to being combined into single survival curves in Microsoft Excel using a macro-based template to calculate Kaplan-Meier survival probabilities every 24 hours.
Unlike for adults, child survival replicates the upward and lateral trend in the original Preston curve for life expectancy.
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Propensity-adjusted analysis may partially control for this phenomenon, and our propensity-adjusted analysis for survival replicated our findings.
Survival among replicates was positively correlated with genetic diversity, particularly with observed heterozygosity.
In his scientific works, Dawkins is best known for his popularisation of the gene as the principal unit of selection in evolution; this view is most clearly set out in his books: The Selfish Gene (1976), in which he notes that "all life evolves by the differential survival of replicating entities".
Heterogeneity of variance in survival between replicate tanks, and among families across treatments was detected and controlled for in the final GLMM (see Additional file 6; Figure 6).
We also found significant differences in survival between replicate F2 populations (factor population, Table 2), consistent with founder effects from sampling a small number (10) of highly variable F2 genotypes in each experimental population.
For example, active Drosophila P elements may improve their likelihood of survival by replicating particular types of defective elements that negatively control the transposition rates of the active ones, thus diminishing the harmful effects on the host (reviewed in [ 14]; see also [ 15] for related examples).
For each phenotype, the foraging fitness is the average survival probability across replicates.
Differences in survival both among replicates and groups cannot be attributed to size, as wing sizes for all mosquito groups tested were statistically equivalent (table 1).
Because of low variance in the lowest and highest concentrations (i.e., either 100% or 0% survival across all replicates, respectively), we rank-transformed the survival data and used these ranks as the response variable in a repeated-measures analysis of variance (rm- anova).
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