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In the study, we used an iterative analysis, referred herein as the "drill down approach", to facilitate the identification of novel molecular targets for diagnosis, prognosis and/or therapeutic intervention for endometrial cancer.
We used an iterative analysis procedure; after every two interviews the transcripts were analysed.
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Analysis was done concurrently with data collection, using an iterative analysis technique, so that future interviews were shaped by the themes identified in prior interviews.
This may lead to tiering of testing, such as the U.S. EPA's Voluntary Children's Chemical Evaluation Program, which uses an iterative analysis of toxicity and exposure information to determine when more data are needed to adequately characterize a chemical's risk to children (U.S. EPA 2005).
We also used an iterative thematic analysis so that we could capture any interesting relationships, patterns, surprises, and inconsistencies among people and within and across sites [ 23].
14, 15 In line with a process of analytic induction that used an iterative approach to data analysis based on both predetermined categories and the data generated, sections relating to cross-cutting approaches and recruitment were added to the probes which generated the richest data to complete the thematic sections presented in the results.
The analysis used an iterative fitting process until the difference between the current and previous estimates converged to 0.001.
The thematic analysis used an iterative process of constant comparison methods [ 21] to identify emergent patterns (MM, ST).
The analysis team used an iterative process to discuss themes, clarify and expand upon interpretation of findings, and contextualize the coded responses.
We used an iterative process of manual and computational analysis to identify 438 NB-LRR-encoding sequences within the recently published doubled monoploid potato genome [ 22].
We used an iterative and constant comparative method, in the grounded theory tradition, 13 in analysis as described above.
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