Sentence examples for data were also estimated from inspiring English sources

Broad sense heritability, RIL least-square means used for linkage analysis and Pearson correlation coefficients (r 2 ) between adjusted mean data were also estimated as described in [ 46].

The data was also estimated in detail to characterize the seismic performance of this kind of composite joints.

The mean of COSMIC data is also estimated at around the same time during the quiet days.

Trees for these latter simulated data sets were also estimated by ML under the JTT + F + Γ model to evaluate a case where there is no model misspecification (Fig. 2A).

Data on patient referrals were also estimated based on existing numbers accounting for the increased future demand for obesity services, hence slightly higher than the existing numbers.

The models were also estimated using data where Stockholm and Göteborg/Bohus were excluded and also where Stockholm, Göteborg/Bohus, Malmöhus and Skåne were excluded.

For that purpose, the regression models (described below) were also estimated with data imputed using two approaches, Bayesian multiple imputation techniques, and simple regression techniques and the results were similar to those presented in this paper.

The sensitivity of LBC for CIN 2 and CIN 3 were also estimated based on data from the Bigras study.

Heritability values were also estimated from genotype data, using a linear mixed model implemented on polygenic function [ 29, 30, 32– 32].

To increase statistical precision, pooled ORs were also estimated for aggregated data using logistic regression models that included a random population-specific intercept.

Emission probabilities specifying how likely it is to observe a given value under each state, and the transition matrix defining how likely it is to pass from one state into another state were also estimated from the data.