Sentence examples for subject weighted from inspiring English sources

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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).

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.

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Where Godard's 1960 film, "Breathless," was a pastiche of low-budget American gangster films, Mr. Resnais's breakthrough feature, "Hiroshima Mon Amour," in 1959, took on two subjects weighted with social and political significance: the American nuclear destruction of Hiroshima, Japan, and the German occupation of France.

Second, we constructed a group classification movie that combined the classification movies of all subjects, weighted by the number of bubbles used.

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).

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.

To compensate for clustering of study subjects, we weighted these community-level data by the proportion of the census blocks included in a community-specific bounding rectangle that contained 95% of local study subjects (Tatalovich et al. 2006).

The average subject scores, weighted according to the number of students, go to make a Guardian score for the institutions.

The score generated for each key subject area (weighted towards income, employment and education) is ultimately combined to create an overall SIMD score for each data zone.

Then, the contribution of each subject was weighted by 1/propensity score for the early RRT group, and by 1/ 1-propensity score) for the delayed late RRT group.

Each subject was weighted in the likelihood using the inverse estimated probability of treatment actually administered, z i, as follows [ 6]: (4) I P T W i = z i P S i + 1 − z i 1 − P S i Note that, for treated subjects (z i  = 1), I P T W i = 1 P S i, while for untreated (z i  = 0), I P T W i = 1 1 − P S i.

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