Sentence examples for methods require estimates from inspiring English sources

Continuity corrections are also not required using Bayesian approaches that incorporate heterogeneity, although Bayesian methods require estimates of prior probabilities that are often based on subjective assessments and opinion [ 12].

This method requires estimates of the multivariate linear association between the variables in the survival model and the variables we indirectly adjusted for.

The Greenland and Longnecker (1992) method requires estimates of the mean loge(E2) in controls and the overall s.d. of loge(E2) in order to estimate the mean of loge(E2) in each quantile, as described by Chene and Thompson (1996).

This chapter details the various techniques used to measure discharge, and ranges from volumetric analysis (the most accurate but least used) to the most commonly applied velocity area method to more advanced slope area methods, which require estimates of channel resistance.

Summary statistics-based methods typically require estimates of linkage-disequilibrium (LD) between markers as input.

Indeed, the present state of Dorylinae systematics precludes the rigorous application of objective diversification rate methods that require estimates of total species diversity within each major lineage.

Distance sampling methods require an accurate estimate of the distance between the observer and each bird.

However, the frequency domain parameters can be obtained by fitting the linearly stylised spectrum as outlined, which is conceptually simpler than the time domain curve fitting methods required to estimate the time domain parameters.

The increase in correlation is equivalent to an increase of 15% in effective sample size compared to CEU. > Summary statistics-based methods requiring an estimate of the genetic correlation matrix are becoming increasingly popular; however, very few GWAS include LD information in their released data.

Although several studies have been made on λ-fuzzy measure identification, their methods require the knowledge of subjective estimates for all subsets of an attribute set, or the corresponding computation process is rather complicated.

The first problem is that BN-based methods require huge computational time to estimate large-scale networks.