Sentence examples for population parametric from inspiring English sources

The relationships between problematic use of analgesic drugs (EMONO and/or others) and the other study evaluation parameters will be assessed by univariate analysis and the appropriate statistics tests, depending on the type of variable and the size of the study population (parametric or non-parametric tests).

Bayes Factors (BF) were employed to compare a null model of constant population with parametric (exponential) and non-parametric Bayesian skyline plot (BSP) models of growth.

Subtraction of the population mean parametric maps revealed foci of increased FDOPA utilization K (+ 25%) in the bilateral medial nucleus accumbens, whereas the expected declines in the trapping of FDOPA were seen in the caudate and putamen.

Based on 2806 CNV segments, which were all found in the general population, the parametric dominant ASM1 model identified two CNV-weighted linkage scores on 19q13 that remained significant after a 1000-fold sincluding including a FWER correction (empirical P = 0.033).

Because of the small subject population, non-parametric analyses were used throughout.

For each of these small sub-populations a parametric or nonparametric test statistic may be calculated for some property associated with the image pixels.

Gonzalez-Recio et al. [ 8] analyzed a lowly heritable trait (chicken mortality) in a similar population using different parametric and non-parametric approaches.

S-ADAPT is a version of the ADAPT program that contains additional simulation and optimization abilities such as parametric population analysis.

These genetically defined subpopulations exhibit substantial genetic divergence as measured by a host of statistics including Wright's FST [15], Bayesian clustering algorithms such as InStruct [16] and STRUCTURE [17], [18] and coalescent-based parametric population structure models [12].

Estimation is by marginal maximum likelihood where a parametric population distribution for the random change point is combined with a non-parametric mixing distribution for other random effects.

Choosing a parametric population distribution for the change points, makes it possible to pool information: instead of estimating change points individually, the parameters of their distribution are estimated.