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This difference is probably because in 1992 most HIV prevalence data were based on urban samples, and Liomba et al had to make assumptions about rural prevalence based on very sparse data.
Importantly, meta-analyses of patient relevant outcomes were based on very sparse data, and the high risks of bias should be taken into account.
The use of regression models in this context means that comparisons are based on very sparse or model-dependent data; although results from such analyses may be correct, they rely on 'heroic modelling assumptions'.
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Attempts to resolve phylogenetic relationships within the montium subgroup have so far been both sparse and based on very few genes [ 31], although relationships among the Australian species have recently received more attention [ 22, 32, 33].
Common logarithms of EST counts were binned into five bins (0 0.5, 0.5 1.0, 1.5 2.0, 1.5–2.0, and more than 2.0), because the gene expression profiles based on ESTs are very sparse sequences of discrete values of EST counts and the number of genes.
Based on the sparse dictionary, the sparse signal model is then established.
In the LSDSR, a discriminative loss function based on sparse coefficients is imposed on the locality-sensitive sparse representation, which makes the optimized dictionary for sparse representation be discriminative.
So far, research on Diplura has been relatively sparse, and most phylogenetic conclusions about them are based on a very limited sampling of dipluran taxa.
Most of the QTL studies that have been performed on sheep were based on sparse microsatellite markers that exhibited large QTL confidence intervals, which makes it very difficult to identify candidate genes for the targeted quantitative trait.
In zone A, sparse increased risks were found for multiple sites (skin, bladder, brain), however based on a very small number of cases.
The CMS is based on variation of sparse features set.
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