Sentence examples for the outcome vector from inspiring English sources

The model takes baseline measurements into account by including them in the outcome vector.

A likelihood ratio test will be used to test the overall null-hypothesis, which states that the outcome vector is independent of job-strain.

The outcome vector y was % plants with undamaged leaves measured repeatedly over three months (January, February, and April) in 2008 and two months (February ,March) in 2009.

The outcome vector y was % survival and the platform-specific fixed effect β PLATFORM included indicator variables for the six environments, five environments in 2009 and one in 2010.

The outcome vector y was recovery score and the platform specific effect, β PLATFORM included the two years of measurement, 2008 and 2009, and two temperatures, -19 and -21°C.

The results using the proposed method, and the previously proposed method of moments and REML, are shown in Table 3. REML provides larger estimates of the between-study variances and so results in larger standard errors for the outcome vector parameters, but we have strong evidence that the treatment is beneficial for both outcomes.

The solution to this "three-player/three-cake" bargaining [4] is given by the unique outcome vector with the property that no player can improve upon its outcome by switching coalitions.

It is a standard result that (A.2 where is the fitted outcome vector obtained when fitting the fixed-effect model, that is model (A.1) with.

The main outcome vectors of the participant's LMI, FMI, and BMI were modeled as linear combinations of baseline covariates and baseline wasting status in separate multilevel linear random mixed models with random intercept and random slope, accounting for correlation of repeated measurements within each individual [ 33- 35].

If there are no covariates then the fitted outcome vectors for all studies are given by the fixed effect pooled estimates, for example.

In this case, we will denote the stacked N g ×1 outcome vector as y g and the N g ×K matrix stacking node-level vectors of covariates for graph g as X g.