Sentence examples for data crossover from inspiring English sources
Thus, according to our data, crossover occurrence in vocational classrooms is not a function of the structural organisation of a training program such that, for example, crossover only happens in fully school-based training programs but not in dual training programs.
This paper presents a method for co-registration of Chang'E-1 (CE-1) stereo images and laser altimeter (LAM) data with crossover adjustment and refinement of the image sensor model.
We did not perform a formal survey to explore this aspect, but nurse performance was good as they completely adhered to the protocol without any loss of patient data nor crossover.
Data from crossover designs are examples of conventional repeated measures, and analyses can be taken from the range of tools available for these, both with continuous and discrete outcomes.
A joint model for analyzing incomplete data from crossover trials is proposed in this article; the model includes a measurement model and an outcome dependent informative model for the dropout process.
Mean effect data from crossover trials were extracted at the end of the initial phase.
Data from crossover trials can also be used to identify predictors of the placebo response in various clinical conditions.
Without adequate adjustment, errors in units of analysis may arise with data from crossover and parallel-group trials that have multiple arms.
Data from crossover trials and before/after studies were not pooled for the outcome of acute rejection because of concerns about the statistical and clinical validity of the results.
Removing data for crossover studies except where exact t-test or P-values were available resulted in similar results to the main analysis, except that confidence intervals were generally widened slightly due to the loss of some power.
Following the nature of data collection (crossover study design), the matched pairs of measurements obtained postexposures (post-CAP vs. post-FA) were compared using paired t-tests (for normally distributed data) and matched Wilcoxon tests for not-normally distributed data (i.e., FMD, RHI).
