Sentence examples for samples outcomes from inspiring English sources

We used linear regression models to assess bivariate associations between demographic, behavioral, and environmental variables and TBB and TBPH in handwipes and TBBA in urine samples (outcomes were log10-transformed).

TR: objective response OS: overall survival PFS: progression-free survival The following information were extracted and coded by using standard form: year of publication, country/region of study, ethnicity, case number, cancer stage of samples, outcomes and SNPs included in each study.

Therefore the full model developed by the two-stage variable selection (Table 2) was adopted as the final model for the litter samples outcome.

In the final model for the litter samples outcome (Table 2), none of the random effects factors appeared to significantly contribute to the variability observed in the response (Wald type test p-value>0.300 p-value>0.300he forr factors).

Of the dichotomous risk factors retained for the litter samples outcome from the screening step, the soil capabilities to produce habitats suitable for coniferous hardwood trees and woodland wildlife were completely collinear; only the former was used further.

First, it could be attributable to variations in study samples, outcome assessment, and data analysis methods.

Within the total amount, 72 lymph nodes were selected according to the following criteria: PCV2-IHC strongly positive lymph nodes with PMWS histological lesions (4 samples; outcome 1); weak to mild PCV2-IHC positivity without PMWS histological lesions (6 samples; outcome 2); randomly chosen PCV2-IHC negative lymph nodes (62 samples; outcome 3) (Table 1).

The second graph of Fig. 9 shows one of the 1000 stochastically sampled outcomes for this project where k = 1.0.

There is a current paucity of information about how various logistical and biological factors influence seed sampling outcomes.

It involves selecting an important random variable, using Monte Carlo simulation to generate sets of sample outcomes of the remaining "unimportant" random variables, estimating the conditional failure probability for each set of sample outcomes and using the average conditional failure probability as the estimate of the failure probability.

While this could have served to attract a somewhat higher number of disengaged students, analyses of the sampling outcomes suggest that this was not the case (Cosgrove et al., 2010).