Sentences with phrase «generalized linear»

Generalized linear models were used to assess associations between SED, biomarkers levels and psychopathology.

This study investigated the role of parental Autism spectrum disorder (ASD), attention - deficit / hyperactivity disorder (ADHD), and depressive symptoms on parenting stress in 174 families with children with ASD and / or ADHD, using generalized linear models and structural equation models.

Hierarchical generalized linear modeling was applied to examine 5,156 adolescents from the child sample of the 1979 National Longitudinal Survey of Youth.

The data was analyzed using generalized linear models and generalized estimating equations, which are specifically used to address the multilevel design of data in which schools with participating schoolchildren were randomized (rather than individual participants).

Trends in rates of child diagnoses by mother's response level in children with a baseline diagnosis and in rates of incidence or relapse in children without a baseline diagnoses were examined separately using the Cochran - Armitage test for trend.29 Low event rates precluded fitting regression models adjusting for potential confounders, such as age and sex of child, using generalized linear models with an identity - link function, to estimate parameters for adjusted trends.

We used generalized linear models with robust variance estimates to account for within - clinic clustering effects.

Univariate generalized linear models were used to determine the estimated marginal means of the PedsQL scales and subscales adjusting for the child's age, sex, maternal education, and disadvantage index as covariates.

Seven single - site statistical downscaling methods for daily temperature and precipitation, including four deterministic algorithms [analog model (ANM), quantile mapping with delta method extrapolation (QMD), cumulative distribution function transform (CDFt), and model - based recursive partitioning (MOB)-RSB- and three stochastic algorithms [generalized linear model (GLM), Conditional Density Estimation Network Creation and Evaluation (CaDENCE), and Statistical Downscaling Model — Decision Centric (SDSM — DC] are evaluated at nine stations located in the mountainous region of Iran's Midwest.

Figure 2B shows present diversity projections of 2068 species from the MLGLM generalized linear model.

Unlike Maxent, generalized linear models require presence and absence data.

Second, a case - control setup was used to compare differences between the most severe tail chasers (TCindex5 — 12) and the controls (TCindex = 0) using a generalized linear model with a binomial distribution (logistic regression).

The effect of maternal care and age of separation (from the mother) on TC was also evaluated using a generalized linear model with a binomial distribution.

We matched 8,095 dual credit participants to an equal number of nonparticipants within the same high school at the point of postsecondary enrollment using propensity scores calculated through a two - level hierarchical generalized linear model with college type as a post treatment adjustment.

Multivariable generalized linear regression models were used to examine the independent association between change in weight (lb) over 4 y and change in intake of fruits and vegetables (servings / day) over the same 4 - y time interval, as described in a previous publication [2].

The analyses were performed by using generalized linear mixed models.

Almost all statistical tests for comparing control vs condition style experiments (differential expression) use generalized linear models assuming count data with these kinds of distributions.

The fixed effects of the proportion of rainbow trout admixture, sex, fish length (covariates) and spawning year (random effect) on reproductive success (response variable) were evaluated using generalized linear mixed models (GLMMs) using a natural log - link function with a quasi-Poisson error distribution (see the electronic supplementary material).

First, activity in the two regions of interest (the supplementary motor area and the parahippocampal gyrus) identified during the localizer scanning was quantitatively characterized (with the use of the average generalized linear model estimate for each region of interest).

They then factored in the type of land at the surveyed points through linear and generalized linear models to examine the usefulness and limitations of bryophytes as a bioindicator.

A suite of generalized linear mixed - effect model regressions were fitted to the data.

Parametersa from the generalized linear model of log10 - transformed summed speciated urinary arsenic (n = 48).

Not exact matches

Generalizing the standard model of flocking motion to the curved surface of a sphere rather than the usual linear plane or flat three - dimensional space, Bowick's team found that instead of spreading out uniformly over the whole sphere, arrowlike agents spontaneously order into circular bands centered on the equator.

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.

Because the magnitude of the counter acting effects depends on the degree of non-linearity, the rms of the residuals to a linear fit, the length of the trend and the temporal auto - correlation of the «weather noise», it is difficult to generalize whether the method will generally result in too many false positives or negatives.

A generalized nonlinear mixed model was used for modeling temporal trends of tree mortality and recruitment rates, and a linear mixed model was used for modeling temporal trends of tree growth rates (Methods).

Changes in rates of child diagnoses from baseline to 3 months as a function of mother's remission and subsequently mother's level of response were analyzed using a repeated measures analysis with binary response data, using generalized estimating equation (GEE) methods.27 A linear probability model with an identity link function (rather than a logit - link function) was used to model interactions on the additive scale28 and to model a dose - response function using rates (rather than odds) as the outcome measure because we considered risk differences to be a more relevant measure than odds ratios in our study.

Generalized estimating equations extension of multivariable linear regression analyses for repeated measures examined predictors of general and specific adherence.

Generalized regression models (logistic regression for dichotomous outcomes, linear regression for continuous outcomes) were used to estimate the overall adjusted effects of Healthy Steps.26, 27 These models included site variables to account for the fact that families within sites tend to respond more similarly than those at different sites.