Sentences with phrase «use generalized linear 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 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.

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).

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

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.

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).

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.

Not exact matches

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).

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).

The analyses were performed by using generalized linear mixed models.

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].

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.

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.

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.

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.

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