Sentence examples for measurements and between from inspiring English sources

Frison and Pocock[ 5] have derived a generalized sample size equation that can be used to assess power for ANCOVA where baseline measures are taken before treatment: p is the number of baseline measures; subscripts pre, post and mix refer, respectively, to the mean correlations within baseline measurements, within follow-up measurements and between baseline and follow-up measures.

With the use of lead tungstate and lanthanium bromide scintillators the VPT properties are studied at low photon energies, from tens of keV in the lanthanium bromide measurements and between 10 MeV and 60 MeV in the lead tungstate measurements.

The visualisation of the whole tree regression model (Fig. 5) clearly shows the good fit of the allometric model, spread of points across the range of diameter measurements and between the two sample years.

Between condition (with and without PLEF for FRC measurements) and between position effects were estimated by including the appropriate interaction term in a linear regression model adjusted for correlation of measurements within pig.

All three plots show a good distribution of data points around the 45° degree line, indicating a high degree of correlation between each examiner's repeat measurements and between the measurements of the two examiners.

Pearson's correlation coefficient r was computed to determine the level of linear dependence between test retest measurements and between parameters.

Again, if the observed kinetics represented solely random fluctuations, the variance of within-day measurements and between-days changes would be expected to be similar – as was indeed the case for untreated mice (i.e. mice that were not injected with any substance) monitored over time.

Intraregional between-household variability accounted for 24 48% of the total variability in residential-dust PAH measurements, and between-household variability was greater for heavier PAHs (e.g., benzo[ k]fluoranthene) compared with lighter PAHs (e.g., phenanthrene).

The random intercept μ0 j and slope μ1 j estimated the within-subject correlation among repeated measurements and between-subject heterogeneity, and r ij is the error that cannot be accounted for by other covariates and random effects.

The contribution of our current work is to consider a challenging situation where we are dealing with a small number of observed exposure measurements and between-group contrast is small and the quasi-Berkson model cannot be reliable.

To assess the association between the exercise tests and HRQoL from baseline up to 2 years we used random-effects linear regression models that took into account the within-person (repeated measurements) and between-person variability.