The predictor of interest was pre-resuscitation venous lactate level.
Separate models were run to assess each outcome (academic adjustment and social adjustment) with the categorical contact variable as the main predictor of interest.
Spatial thinking training might foster interest in STEM fields before college, as spatial thinking skills – being able to mentally and/or physically manipulate the location and/or movement of people and/or objects (National Research Council, 2006) – is an important predictor of interest, education, and careers in STEM fields (Wai, Lubinski, & Benbow, 2009).
Thus, for each context effect of interest, we ran a separate model that included all level 1 and 2 predictors, but only the level 3 predictor of interest and the class mean mathematics ability score in order to control for its context effect.
Only factors associated with the predictor of interest were included in each multivariable model.
Thus, our primary predictor of interest was the individual-specific T-score.
In order to measure the trend in social disparities over time, we assessed whether the association between predictor of interest and undernutrition varied by survey year.
The primary outcome for analysis was disease status (breast cancer case vs. control) and the principal predictor of interest was the presence of FMc.
This assessment required us to pool the data from all three years and test for interactions between the predictor of interest and the survey year in the pooled dataset using Wald tests.
In these datasets, each tree was given the median condition of its species (apart from the predictor of interest) and was assigned as dead or alive based on its predicted annual mortality rate.
As the primary predictor of interest, HIV serostatus was forced into multivariate models, while other covariates with p-value<0.05 were retained in the final models using backwards selection.
