The main aim of CCE is to evaluate every aspect of the child during their presence at the school. This is believed to help reduce the pressure on the child during/before examinations as the student will have to sit for multiple tests throughout the year‚ of which...
For primary analyses, missing covariate values were imputed multiply using the Sequential Regression Multiple Imputation Method by IVEware [22]. Results from 20 imputed data sets were combined for the final analysis using Rubin’s formula [23]. The proportions of missing data were < 10% for...
In recent years, significant advancements have been made in various aspects of spatial transcriptomics, including clustering analysis, detection of spatially variable genes (SVGs), data enhancement and imputation, and deconvolution of spatial transcriptomics data. AI-based methods such as SpatialDE, SPARK...
We use multiple imputation (20 multiply-imputed datasets) to handle missing data on all measures except LGBT status7 and all models are weighted with the OPM-provided proportional weight "postwt". 3.1. Variable Operationalization Table 1 provides information on specific question wording and scale ...