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Exact(8)
A Dayhoff + γ + i model with 8 relative substitution rate categories was used [51] Equilibrium amino-acid frequencies, proportion of invariable sites and distribution shape were estimated from sequence data of each gene.
Using SPSS 17.0, the descriptive frequencies, proportion and means were run for socio-demographic indicators.
The rate parameters, base frequencies, proportion of invariable sites, and gamma shape parameter were estimated during analysis.
Parameters were modelled using empirically derived nucleotide frequencies, proportion of invariant characters, gamma shape parameter, and six-parameter rate matrix model (see above).
Descriptive statistics such as frequencies, proportion, and cross tabulations were used to describe the study population in relation to relevant variables.
Instead, it appears to be primarily driven by SNPs with low minor allele frequencies (proportion of negative betas for the lowest quartile of MAFs = 62.8%, p = 7.49 × 10−8; highest quartile of MAFs = 48.6%, p = 0.602).
Similar(52)
Descriptive data on frequencies, proportions, and on means and standard deviations were obtained with respect to the demographic, behavioral, psychological, and psychosocial characteristics of the groups.
Descriptive statistics in the form of frequencies, proportions, measures of central tendency and dispersion were used to summarise the socio-demographic data.
Quantitative descriptive statistics (frequencies, proportions, etc).
Results are summarised as frequencies, proportions and medians as appropriate.
Univariate analysis involved the estimation of frequencies, proportions and means.
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