Cortical analyses across the surface were performed
with general linear models as implemented in FreeSurfer, and results were displayed on a semiinflated template brain that was thresholded by a conventional criterion for correction for multiple comparisons (FDR at 5 % level)(58).
Given poor robustness of t - tests with very different group sizes, we used t ′ assuming lack of homogeneity of variance; control analysis was tested
with general linear model (GLM) controlling for age, depressive symptoms, and self - rated health (df = 1).
Not exact matches
cP <.05 for pairwise comparisons of infants who consumed rice
with infants who consumed no rice or rice products in
general linear models that also included specific gravity.
dP <.01 for pairwise comparisons of infants who consumed rice
with infants who consumed no rice or rice products in
general linear models that also included specific gravity.
The vitamin K content of cream products, for which the researchers had a smaller sample size, was analyzed using a
general linear model,
with heavy cream as the reference group.
For each scan, a
general linear model contrasting periods of active imagery
with periods of rest was computed.
Pat argues that it is the
general tendency of climate
models when forced
with exponentially increasing CO2 concentrations (as were the
models used in Dr. Covey's CMIP project) to produce a nearly
linear temperature rise into the future.
To compare changes in FFM between groups, a
general linear regression
model was fitted
with FFM as the dependent variable, and treatment, time, and the interaction of treatment
with time were used as independent variables.
We built a generalized estimating equation (GEE)
general linear model (GLM)
with outcome as the dependent variable; time in the nursing box, licking / grooming per puppy, vertical nursing per puppy, and ventral nursing per puppy were entered as predictors
with breed, maternal parity, sex of puppy, and age at return entered as covariates.
The magnitude of each relative changepoint is calculated using the most appropriate two - phase regression
model (e.g., a jump in mean
with no trend in the series, a jump in mean within a
general linear trend, etc.).
Validation of
general linear modeling for identifying factors associated
with Quality of Life: A comparison
with structural equation
modeling
Results using hierarchical
linear modeling show that a negative inferential style interacted
with negative events to predict prospective symptoms of
general and anhedonic depression specifically but not anxious arousal,
general internalizing or externalizing symptoms.
The association between scores on the CBCL and YSR in interaction
with parenting styles was analyzed as categorical variables in
general linear models, where CBCL and YSR were divided into four groups: low scores, low average scores, high average scores and high scores.
Simple effects of callous - unemotional traits were tested in a
general linear model (GLM)
with age, IQ, ADHD symptoms, and PDS and PESQ scores added as covariates of no interest.