Sentences with phrase «potential predictor variable»
We calculated χ2 statistics, t tests, and correlation coefficients to analyze the bivariate associations between each potential predictor variable (anthropometric and psychosocial family characteristics) and the 2 criteria of long - term weight change: success versus failure in weight reduction up to the 12 - month follow - up and weight change between the conclusion of treatment and the 12 - month follow - up.
http://pediatrics.aappublications.org/ Not exact matches
However, in malnourished populations motor development may be a useful predictor of subsequent human function.5 A study conducted in Denmark6 found a positive relationship between breastfeeding duration and an earlier ability to crawl and perform the «pincer grip» after adjusting for potential confounding variables.
Seven environmental variables, which were previously identified as potential predictors for podoconiosis in Ethiopia (Deribe et al., 2015b), were used to model podoconiosis prevalence.
We include as potential confounders any variable that has been shown to be associated with bullying and has also been shown to be associated with any of the 3 main predictors.
To assess the potential effect of missing data (ie, ignorable vs informative missing data), a pattern - mixture analysis was implemented using 2 - tailed tests.51 We defined patterns using a binary completer status variable, which was entered as a predictor in the RRM and MMANOVA.
T1 child BMIz and the same potential co-variates were controlled for at step 1 before entering predictor variables at step 2.
Variables from within these domains were chosen as potential predictor and moderators of treatment response.
To test this potential indirect effect, we used a non-parametric Monte Carlo simulation method, in which the indirect effect obtained from the a (the link between the predictor variable and the indirect effect variable) and b (the link between the indirect effect variable and the dependent variable, controlling for the remaining predictors) paths in a series of regression analyses is simulated k number of times using the slopes and standard errors obtained from the data (we used k = 50,000).
Chi square analyses and t - tests were conducted to examine potential differences in the demographic, predictor, and outcome variables as a function of accelerometer wear adherence (wearing the accelerometer for less than 4 versus 4 or more days).