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In the present study, the dimensionality indicator is estimated from the measured impedance tensor data.
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Notes: *: p < 0.10, **: p < 0.05, ***: p < 0.01 a/Arithmetic mean of two measurements In order to test whether there is confounding effect in these bivariate relationships, one logistic regression for each metabolic control indicator was estimated.
In order to adjust for the possible clustering effect that some young adults were from the same school, incidence rate ratio (IRR) for each indicator was estimated with the use of the Huber-White sandwich estimate for standard errors (robust estimates).
Associations of lung function with estimated air pollution levels and traffic indicators were estimated for each cohort using linear regression analysis, and then combined by random effects meta-analysis.
The importance of the environmental indicators was estimated by attributing a percent weight to each of them according to MDA outputs.
The performance of the alternatives for the various indicators was estimated by examining the data for one week in winter (weekdays only; Monday-Friday).
Thus, where there were no active experts for a taxon, indicators were estimated using published scientific papers, or databases such as the Japanese Biota Species Number Survey (http://research2.kahaku.go.jp/ujssb/search) and others.
Some of these indicators were estimated in the evaluation.
The correlation of tapping parameters with clinical indicators was estimated.
No significant associations between CRVE and air pollution indicators were estimated based on this model.
However, the quality indicators are estimated with uncertainty which has to be taken into account.
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