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We used the missing indicator method to handle missing data.
We therefore used the missing indicator method to account for the missing data.
We used the indicator method to deal with covariates with missing values in the Cox regression model (Greenland and Finkle, 1995).
In the multivariable logistic regression analysis, we used the missing indicator method to take missing values into account to justify the comparison of different models, particularly when a multivariable regression model was conducted.
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Prior studies comparing the chest radiograph with EVLW measured using the thermodilution method used double indicator methods to measure the amount of EVLW [12, 14 17].
This is the first study to demonstrate the ability of rapid indicator methods to predict health effects.
Prior studies comparing the chest radiograph with EVLW measured using the thermodilution method used double indicator methods to measure the amount of EVLW [ 12, 14- 17].
Next, we applied the generalized indicator function method to these averaged signals [22], which efficiently excluded noisy signals originating from volume and oxygenation changes in thick blood vessels and spatially slowly varying fluctuations of signals inherent in the recorded intrinsic signals.
As a good indicator or method to evaluate postoperative survival is currently lacking, serum anti-CCNY autoantibody may have value in terms of monitoring the survival of postoperative patients, evaluating surgical curative effects and guiding the individualization of treatment.
Missing indicator method was used to analyze categorical variables with missing data.
Finally, a composite indicator method was used to construct the SVI for each year using the following mathematical expression: {text{SVI}} = mathop sum limits_{i}^{n} pm {text{NI}}_{i}where NI is the normalized indicator considered for the computation of the index.
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