Sentence examples for weight stratification from inspiring English sources

In all analyses, key survey characteristics such as sampling weight, stratification and clustering were accounted for.

We randomized the mice to each exposure group after weight stratification such that the mean body weight was similar (± 20%) in each exposure group.

All analyses were conducted in SAS version 9.1 (SAS Institute Inc., NC), using procedures specifically designed to properly analyze complex survey data which employ sample weight, stratification, and cluster information.

C57BL/6 mice (approximately 10-12 weeks old, 25-30 g) were received from Charles River Laboratories (Frederick, MD) and were quarantined for 14 days prior to group assignment by body weight stratification for randomization into the study.

Hence, in order to obtain unbiased population inference and correct estimates of their sampling variance it is necessary to take into account survey weights, stratification, multi-stage-sampling, and finite population corrections (PSU-stage).

In particular, 'svy' commands were used to allow for adjustment of the cluster sampling design, sampling weights, stratification, and the calculation of standard errors.

The sample weights, stratification, and clustering design variables were incorporated into all SAS survey procedures to ensure the correct estimation of sampling error.

Five imputed data sets were used in each step, adjusted for all sample design features (including sampling weights, stratification, and clustering).

SAS version 9.2 software was used for statistical analysis to correctly specify complex survey sampling weights, stratification, and clustering for the two combined NHANES cycles.

Components of the sampling design (sampling weights, stratification and stages) were taken into account with the "survey" package of R® 2.9.0 software [ 30] to calculate the proportions and their variances.

Estimates of the animal- and herd-level seroprevalences were calculated by state, management system, age, sex and breed using the ' svy' command in STATA 12, which accounts for sampling weights, stratification and clustering in the multistage survey design to produce adjusted prevalence estimates and standard errors.