"ancillary analysis" is a correct and usable phrase in written English.
It refers to an analysis that is supplementary or secondary to the main analysis being conducted. It is commonly used in research papers, scientific studies, and other formal writing. Example: The main findings of the study were supported by the results of the ancillary analysis, which focused on the effects of demographic factors on participants' responses.
Materials and methods This is an ancillary analysis of a systematic review of randomized clinical trials in critically ill patients.
Patients and methods: Ancillary analysis of data prospectively collected from 220 ICU communicative patients enrolled for the validation of the IC-RDOS.
A non-significant improvement was found for endpoints, allocation concealment, baseline data, outcomes and estimation of effect, ancillary analysis, interpretation of results and overall evidence (Table 2).
This study was an ancillary analysis of a study prospectively conducted over 9 months (November 1, 2014, to July 31, 2015) in a medical 10-bed ICU.
The current study is an ancillary analysis of an international, multicenter, prospective cohort study (the Large Observational Study to Understand the Global Impact of Severe Acute Respiratory Failure, LUNG SAFE).
The accuracies obtained in this ancillary analysis were surprisingly high.
Finally, we conclude with recommendations for ancillary benefits analysis and related research gaps in the relevant disciplines.
One of the most controversial aspects of ancillary benefits analysis is the valuation of health in non-industrialized countries.
Current ancillary benefit analysis does not include separate estimation of health and economic damages by sub-groups or confront issues of environmental justice.
Thus the purpose of this ancillary economic analysis was to evaluate if the reduction in hospital length of stay also translated to reduced treatment costs.
We conducted an ancillary data analysis to test our supposition that the phallometric data of the 291 excluded subjects would differ systematically from the phallometric data of the 2,359 remaining subjects.
