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These survey methods work by partitioning the study area in some way, into strata, or primary sample units, or in the case of adaptive cluster sampling, into networks.
We avoided software limitations by partitioning the study area into coarse-scale geologic provinces ([37]) and ran the model by province.
Then a tree-based model composed of nodes was fashioned by recursively partitioning the study cohort.
After partitioning the study area into the sectors described above, the pre-treatment distributions of normalised S. mansoni egg counts were observed to vary significantly between sectors (F = 8.8, p =< 0.001) as were 1-year post-treatment IgG3 OD's against schizont antigen (F = 11.8 p < 0.001).
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To prepare the LS zonation, we have partitioned the study area into slope-units (SU), hydrological terrain subdivision bounded by drainage and divide lines (Carrara et al. 1991).
We partitioned the study area into a treatment plot, which encompassed the artificial pool array along with a surrounding buffer zone of 10 m, and 14 adjacent control plots of equal size (60×70 m).
For QALYs and cost estimation, we partitioned the study time horizon in homogeneous subintervals (quarterly intervals) through the weighted regression mean cost, and QALYs were estimated within each interval and then summed across intervals to estimate mean total costs and QALYs.
Therefore, it is necessary to design a parallel intersection analysis algorithm by partitioning the region of study, where each processor only requires a portion of the data during the analysis process.
This is because the procedures before and after this step are often parallelized by partitioning the region of study according to some geological properties (e.g., parameter assignment for geologically homogeneous zones, zonal flow path identification and flow fluid simulations along hydraulic gradients).
Coefficients of variation (CV) were compared and a linear mixed model was used to partition the total study variability into inter- and intra-individual variability.
Our research extends these previous studies by partitioning the importance of each factor on GRper and describing the functional form between each of the independent variables and GRper.
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