Sentence examples for cluster proportion from inspiring English sources

NSCPHGW, NSCPHFT and NSCPCCV are the non-self-cluster proportion of households with good water, non-self-cluster proportion of households with flush toilets, and non-self cluster proportion of children under five with complete vaccination, respectively.

NSCPHGW, NSCPHFT and NSCPCCV are the non-self cluster proportion of households with good water, non-self cluster proportion of households with flush toilet and non-self cluster proportion of children under five with complete vaccination, respectively Partner's education includes a 5th category (missing husbands) but this is excluded from the table.

Thus we follow prior authors [17 19] to compute the non-self cluster proportion of households with access to good water (NSCPHGW), a non-self cluster proportion of households with flush toilets (NSCPHGS), and a non-self-cluster proportion of children with complete vaccinations (NSCPCCV) as proxies for accessibility and availability of health services.

NSCPHGW, NSCPHFT and NSCPCCV are the non-self cluster proportion of households with good water, non-self cluster proportion of households with flush toilet and non-self cluster proportion of children under five with complete vaccination, respectively Partner's education includes a fifth category (missing husbands) but this is excluded from the table.

The sweep gas did not significantly reduce the salt cluster proportion (Additional file 6: Table S4), although fewer features were detected overall, indicating lower sensitivity with this method.

We also utilized the program GENECLASS2 [ 68] for a comparative estimate of population assignments using the same K = 13 cluster proportion results for initial population assignments.

Finally, the latent cluster assignments are drawn from a multinomial distribution based on the cluster proportions.

The cluster proportions are sampled jointly from a symmetric Dirichlet distribution in Eq. (10).

For simulated soybean) the symmetry of changes in cluster proportions is more apparent as increasingly larger mismatch thresholds convert oversplit 1-haplotype clusters into heterozygous clusters.

Due to the skewness in the distribution of the cluster proportions, a log transformation was applied and the mean of the log-proportions over clusters (log of the geometric mean) was estimated in each arm.

Within each arm, a weighted average of the cluster proportions was taken with weights provided by the sample size for each cluster, to give the prevalence of the primary outcome in each arm.