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Subanalyses were performed by stratifying this data set according to type of organization (i.e., Academia/Pharma) and modeling and simulation level of expertise (i.e., Junior/Senior).
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We investigated this by stratifying the data according to essentiality in rich media.
The non-proportional hazard for this factor (watering at homestead) was accommodated in the model by stratifying the data based on the two levels (Yes and No) for this variable.
To examine this, same logistic regression analysis was conducted by stratifying the data according to the wet cleaning frequency.
What can be done primarily is to estimate what kind of jobs the labor transited into due to the policy by stratifying the data.
Finally, we analyzed correlates of frailty by stratifying the data by gender to examine its potential effect.
We also conducted a subgroup analysis by stratifying the data of participants with or without hypertension or diabetes.
They have therefore developed a normalisation algorithm that prevents suppression of copy number ratios by stratifying the data into separate populations representing discrete copy number levels [54].
Differences were analysed by stratifying the data by clinical setting (intensive care [ICU], acute care, subacute care, longterm care), and the group of HAI (UTI, LRI, BSI, SSI, other HAI [ENT-, skin-, gastrointestinal infections]).
This type of analysis could possibly be refined by stratifying surveillance data by the number of birds and humans tested to compensate for variations in the intensity of the surveillance effort.
Subgroup analysis of gender, as a possible confounder, was performed by stratifying data separately by this variable.
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