Examples of using Random effects in English and their translations into Chinese
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A random effects model was used.
Mixed models contain both fixed effects and random effects.
Mixed effect models consist of both fixed effects and random effects.
A random effects model was used for meta-analyses of data, using risk ratios(relative risk).
In cases of high heterogeneity, the random effects model was applied.
Relative risk was used as an effect measure to compare the intervention andcontrol groups with fixed-effects or random effects models.
A mixture between fixed effects and random effects model is called a mixed effects model.
The associations between prespecified study-level factors andeffectiveness were tested by a random effects meta-regression model.
This gives rise to unpredictable, random effects, including gross abnormalities in animals and unexpected toxins and allergens in food crops.
Summary relative risks(RRs) were calculated using random effects models.
A random effects logistic regression model was used to test whether any pre-marketing characteristics were associated with either post-marketing safety action.
Mixed models describe situations where both fixed and random effects are present.
Cox frailty models with random effects were used to assess associations between fruit, vegetable, and legume consumption with risk of cardiovascular disease events and mortality.
Only the relative risk for gonorrhoea is reported using the random effects model, although this is not made explicit in the review.
Interestingly, the coefficients for Reg are now statistically significant,at respectively the 10%(for the Tobit without random effects) and 1% levels.
Best linear unbiased predictions"(BLUPs) of random effects are similar to best linear unbiased estimates(BLUEs)(see Gauss- Markov theorem) of fixed effects. .
All 20 studies with control groups(15 cohort studies, three cross-sectional studies, and two clinical trials)were included in random effects meta-analysis and sensitivity analyses.
We are robust when errors in the representation of the unknown andunderstanding of random effects do not lead to adverse outcomes- fragile otherwise.
ANOVA gauge repeatability and reproducibility is a measurement systemsanalysis technique that uses an analysis of variance(ANOVA) random effects model to assess a measurement system.
But people are always too low to estimate the random effect.
The variable c is the number of random effect terms in the model and 1 represents the variance for the error term.
Centre was included as a random effect in all models.
The formation of such a random effect with a certain chance, but in certain norms inherent in the welding phenomenon.
During his master thesis in Macroeconomics,he designed algorithms to compute contagion effects in random banking networks.
There is some work on detecting heterogenous treatment effects using random forests.[3][4].
The effects of random anchors have much to tell us about the relationship between System 1 and System 2.
By analogy with IQ the additive heritability of meritis set to 0.6 so there are substantial random environmental effects.