Sentences with phrase «univariate analysis»

Univariate analysis refers to the examination of only one variable at a time. It involves analyzing and understanding a single piece of data or a single characteristic without considering the influence of other factors. Full definition
To examine whether ethnic differences in relationship quality remained after controlling SES, we conducted univariate analyses of covariance on (a) mother and father acceptance (adolescent report) and (b) diabetes conflicts with mothers (adolescent and mother report) and fathers (adolescent report), with SES as the covariate.
To fully explore the data, MANOVAs were followed up with univariate analyses with Sidak adjustment to conserve alpha.
Results from univariate analyses suggest that individual, family and peer risk factors predicted membership in the subgroup of girls who use indirect aggression more frequently and increasingly.
Univariate analysis revealed that the risk factors associated with both lifetime DSH and SA were higher impulsivity, female gender, low school ranking, father's job status, not living with biological parents, family discord, low self - esteem, poor social support, currently smoking, more alcohol use and more depressive symptoms (table 1).
Table I summarizes descriptive statistics for adherence, HbA1C, and mental health symptoms, as well as univariate analyses of gender differences in these variables.
To test for age - related dedifferentiation in neural representations we combined univariate analyses with an encoding - retrieval pattern similarity (ERS) analysis in young and older adults to compare the overlap in neural representations between retrieval lures and their respective targets at encoding.
It is Campbell who did the multivariate analyses in The China Study, and Denise Minger who has made the first - year undergrad - level error by doing univariate analysis.
An intent - to - treat analysis was conducted using univariate analysis of covariance for continuous variables and multivariate analysis of covariance for continuous variables in which the predictor variable comprised multiple scales.
We calculated univariate analyses of variance for continuous variables.
To address these issues, we utilized univariate analyses of variance (ANOVAs) with Bonferroni - protected follow - up comparisons on the outcome measures, with work perception (self did more work, partner did more work, work was shared equally) serving as the grouping variable.
On univariate analysis, patients with a CNA in at least one CFS showed a decreased 5 - year bRFR (64 percent), compared with the bRFR of patients without genetic alteration in CFSs (90 percent; HR = 2.13, 95 % CI: 1.17 - 3.86, p = 0.011).
Genetic contributions as estimated in the univariate analyses had a much weaker impact on AGI (11 %).
Because of the fact that method of conception was significantly different between the groups in the univariate analysis, we decided to include this covariate in the multivariate analysis.
Odds ratios were adjusted for covariates that were significantly different between the groups in the univariate analysis.
In the univariate analysis conducted by researchers, there was an inverse association between mean average temperature, mean annual sunshine hours and a positive association with absolute latitude (p < 0.05) with AAF.
The (traditional) univariate analysis of MEG (magnetoencephalography) activity recorded in human subjects when they perform a simple task such as «did you hear BA or DA?»
A univariate analysis made it possible to see which region of the brain was solicited during the task, electrode by electrode, contact by contact.
The results of the multivariate and univariate analyses are consistent.
In the univariate analysis, declawed cats were at decreased risk of relinquishment compared to non-declawed cats (OR = 0.63; 95 % CI 0.45 - 0.87).
Note that in the present study we performed an univariate analysis where only one variable is used for the calculation of one rank histogram.
Factors with p values < 0.05 in the univariate analysis were adjusted for age, gender, baseline viral load and glucose.
As in the univariate analyses, the decreases in total, physical, and social PedsQL scores with increasing weight category remained significant for responses from both children and parent - proxies even after multivariable adjustment.
The impact of epidemiological characteristics and personal experiences on the participants» viewpoints and preferences of defensive medicine and its specific aspects were analysed in univariate analysis.
Variables identified as significant in univariate analysis were included in multivariable regression models.
In univariate analyses, postnatal depressive symptoms were positively associated with GL at both time points and GI at 34 weeks» gestation, but were strongest for 34 weeks» GL: PR 1.12 per 100 GL units (95 % CI: 1.04 — 1.20).
Follow - up univariate analyses (Table III) revealed no differences between siblings and comparison children on the social subscale.
The CU groups were first compared, by means of a univariate analysis of variance, on a number of possible covariates.
Follow - up univariate analyses (Table IV) revealed no differences between siblings and comparisons on any friendship quality subscale.
Univariate analyses of covariance tested whether ethnic differences in relationship quality held after controlling for SES.
The first criterion for mediation was that gender would be found to be associated with poor adherence and metabolic control in univariate analyses.
For the univariate analyses, we first fitted a latent phenotypic growth curve model for PA and RA to obtain estimates of intercepts and slopes.
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