Sentence examples for variable analysis when from inspiring English sources

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Instrumental variable analysis, when pooled, gave an estimate of the causal hazard ratio for ischaemic heart disease of 0.93 (95% confidence interval 0.79 to 1.09) per standard deviation increase in uric acid (fig 2).

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Finally, our method performs about as well as surrogate variable analysis (SVA) when technical error is of large magnitude, and better than SVA when technical error is of smaller (but still realistic) magnitude.

Relatively little research has explored these issues or has considered data at these variable levels of analysis when examining the impact of the NH transition on key health outcomes [ 4, 50].

As the perceived health of the family caregivers is not only related to cognitive impairment of the person with dementia, but also to the behavioural and psychological symptoms in dementia [ 26], further studies should include these variables in their analysis when evaluating further the indirect effect of this intervention.

When the dependent variable is a count variable like donation amount, we used linear regression analysis; when the dependent variable is the number of donations, we used Poisson regression analysis.

Similarly, the natural logarithm of survival was used as an independent variable in stepwise multiple regression analysis when the QoL score was the dependent variable.

High age or high baseline SPADI score indicate large improvement in SPADI during treatment, according to the simple regression analysis when variables are investigated one at a time.

However, the antimicrobial treatment status was unknown for 29 of the non-HUS patients, so they were excluded from the analysis when the variable was included.

And perhaps more importantly, researchers will precisely describe situations when instrumental variable analysis is likely to be more biased.

In reality there are a multiplicity of factors that do influence the mother in making such a decision, thus, the study goes a step further to carry out a multivariate analysis when these variables are allowed to interplay.

The 6 color maps on the left side of the figure correspond to the differential analysis when the variables provided by the empirical models were underestimated during the run.

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