Sentence examples for weighted subject from inspiring English sources

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Alpha in weighted NASA-TLX (weighted by subject) shows the worst reliability score of all datasets.

The education secretary has made what choice there is in education a complex Chinese puzzle of eight best: double weighted EBacc subjects with different codes that creates perverse incentives – all without seeking primary legislation, all without creating a new education bill scrutinised by parliament.

A sufficiently large autopsy study, weighted toward younger subjects, could provide a definitive answer, which if positive could be a major step toward finding an underlying pathological process.

When estimating the mean outcome in the matched untreated subjects, each untreated subject was weighted by the reciprocal of the number of untreated subjects within the matched set to which that untreated subject belonged (20).

To adjust KiGGS data for deviations from representativeness regarding age, gender, region, and nationality, cases were weighted at the subject level.

Aggregate data on SES were available at the level of the area postal code (www.cbs.nl) of the subject, weighted by population size and classified into three groups (high, intermediate and low).

The between and within-family environmental parameters e b and e w are simply weighted by the subject's score on the continuous environmental measure, E j, just as the genotype-dependent between and within-family interaction parameters i bg and i wg.

Figure 3A shows parameter estimate maps for each stimulation condition for an example subject, weighted by the corresponding statistical comparison to 0 (FWE-corrected threshold of 0.05), and shows a complex spatial pattern of response that was not restricted to the simple cortical bands expected from the phase-encoding maps.

Each virtual subject's relative contribution to virtual population measurements is weighted by a virtual subject specific prevalence weight; a simple weighting scheme was applied by which each virtual subject was assigned a weight of either 1 or 0 to optimize the fit to clinical data distributions.

We evaluated the causal effect of AC on the survival endpoints using the KM method and Cox proportional hazard model with adjustment for the estimated propensity scores using the propensity score inverse probability of treatment weighting (IPTW) approach 19, where each subject is weighted not by conventional equal weight of 1 but by the propensity score IPTW.

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