A data dictionary comprising a wide array of demographic, clinical, and CCTA findings was developed by the CONFIRM investigators and is uniformly used for all patients.
A semistructured interview guide, based on one of the authors' previous research findings, was developed.
After reading and re-reading the coded data, a narrative account of the findings was developed.
In this study, a computer-aided diagnosis system that combined clinical and multiparametric MR findings was developed to predict preoperatively the final Gleason score of prostate cancers.
A stages-of-change conceptual framework that encompasses an understanding of behavioural change was used for the analysis of the data and the description of the findings was developed inductively from the data.
In order to reduce the required number of animals but nevertheless gather information on the nature and extent of lung alterations in living pigs, a computed tomographic scoring system for quantifying gross pathological findings was developed.
A postsurgical scoring sheet containing general and gynecological patient and procedural information, extent of disease, the location and type of endometriotic lesion, and any other findings was developed during several rounds of review.
In this study a model based on previous findings is developed and verified and then employed to obtain guidelines for the development of new TBT-free self-polishing coatings.
Findings were developed into recommendations for communication tools, strategies and vision aimed at creating a more effective and efficient collaborative environment.
The findings were developed from data gathered in the National Crime Survey, a continuing survey in which 128,000 individuals from 60,000 households are interviewed twice a year to find out whether they have been victimized by crime.
