Examples of 'analysis of covariance' in a sentence
Meaning of "analysis of covariance"
analysis of covariance: This is a statistical technique used to assess the relationship between multiple variables, typically in experimental or observational studies
How to use "analysis of covariance" in a sentence
Basic
Advanced
analysis of covariance
Factor rotation in the analysis of covariance structures.
Analysis of covariance between laboratories.
Statistical analysis was performed using analysis of covariance.
Phylogenetic analysis of covariance by computer simulation.
Primary efficacy analyses are performed using analysis of covariance.
We performed analysis of covariance with the baseline value as a covariate.
Data were adjusted by analysis of covariance.
Analysis of covariance was used to test the effectiveness of the intervention.
Intervention and control groups were compared using analysis of covariance.
See also analysis of covariance.
Daily variation within a particular marten was examined by using analysis of covariance.
Data analysis used repeated measures analysis of covariance and nonparametric tests of trend.
This effect can be attenuated by statistical resources such as the analysis of covariance.
Statistical analyses were conducted with analysis of covariance and with linear and logistic regression.
The same considerations apply to the set of covariates fitted in an analysis of covariance.
See also
An analysis of covariance ANCOVA was performed to evaluate relationships between variables.
Data analyses were conducted by logistic and linear regression analysis and analysis of covariance.
Analysis of Covariance was used to compare the means between the groups.
The results are formed with Analysis of Covariance.
A Based on analysis of covariance with treatment as factor and baseline as covariate.
Within-lake variation in shell etching was contrasted using a log-log analysis of covariance approach.
We used analysis of covariance ANCOVA to adjust the treatment effect for age.
Spearman 's coefficient of non-parametric correlation ps and analysis of covariance ANCOVA were applied when necessary.
Analysis of Covariance ANCOVA for repeated measures was used to control for confounding factors.
A possible statistical analysis with qualitative and quantitative independent variables is an analysis of covariance ( ANCOVA ).
Analysis of Covariance.
Groups were compared using analysis of covariance and Mann-Whitney U tests.
Analysis of covariance ( ANCOVA ) is a statistical procedure that forms part of the general linear model.
IVUS measurements were analyzed between groups with a two-way analysis of covariance Fleiss JI.
Depending on the outcome, analysis of covariance or multiple logistic regression is used.
The analysis of MSFC is based on baseline-adjusted Analysis of Covariance.
When necessary, the analysis of covariance was used to compare the control and treated groups.
Treatments were compared using analysis of covariance ( ANOVA ).
For adjustments, analysis of covariance ANCOVA was used for quantitative data.
Data were compared between groups using analysis of covariance ( ANCOVA ).
Evaluation by analysis of covariance indicated significant differences ( P < 0.05 ) in regression models among the sites.
Adjusted estimate based on an analysis of covariance ( ANCOVA ) model.
Response of S-25(OH)D to vitamin D3 supplementation was assessed with repeated-measures analysis of covariance.
Statistical significance was assessed by analysis of covariance ( ancova ) adjusted for hstnt0h, age and gender.
All continuous variables were analyzed by the ANalysis of COVAriance ( ANCOVA ).
Data were compared by analysis of covariance ( ANCOVA ) followed by Dunnet 's test.
The analysis of Brain Atrophy will be based on Analysis of Covariance ( ANCOVA ).
The Table 3 shows the results of analysis of covariance ( MANCOVA ).
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A tentative analysis leads to the following conclusions
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A confidential analysis shows a downward trend in popularity
Examples of using Covariance
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This covariance behavior is logical and expected
It assumes that all covariance matrices are equal
Covariance and contravariance is supported by both languages
