Sentence examples for methods requires data from inspiring English sources

Comparison of the performance of the M-measure to that of state-of-the-art HMM-based CNA methods requires data in which the subclonal composition and copy number of each subclone are known.

Density-based methods require data to be collected at more frequent intervals.

Because of serial autocorrelation (Wooldridge test, p<0·0001) we use methods requiring data on the concurrent and prior-year success rates, which restricts our analysis to under 200 country-years.

Furthermore, several of these methods require data that are not generally available.

However, these analyses could not adjust for differences in trial methodology or endpoint definitions across trials [ 26], and although this could be achieved by performing sub-analyses, these methods require data to be available from several studies to enable reasonable estimation of the random effects.

Even if a displacement is steady, the correlation becomes lower because this method requires data for 1.5 years out of the 3 years.

This method requires data from many microarray experiments (several hundreds).

The CEM method requires data capture at each patient encounter.

The marginal model using GEE method requires data to be missing completely at random, whereas the cluster-specific model using RELR requires data to be missing at random.

Application of the mixed model method requires data sets in which all individuals are measured for genome-wide genotypes and the environmental risk factor.

However, as this method requires data from native populations in equilibrium as a comparison, which are not available for L. neglectus, we chose two software packages that do not require this, but instead rely on polymorphic loci only.