The phrase "assumptions were identified" is correct and usable in written English.
You can use it when discussing the process of recognizing or acknowledging certain beliefs or premises in a particular context, such as research or analysis.
Example: "In the study, several assumptions were identified that could impact the overall results and conclusions."
Alternatives: "assumptions were recognized" or "assumptions were noted".
Functional requirements, constraints, and assumptions were identified, documented, and approved before the design phase could begin.
Despite a lack of transparency in some key elements, the most influential assumptions were identified as relating to vaccine effectiveness, cervical screening, and model design.
Linear and mixed effects regressions using biomarker quartiles as the exposure were selected for the main analysis after model diagnostics were applied to regressions using exposures as continuous variables and substantial violations of key model assumptions were identified.
Based on preliminary work, the following assumptions were identified as important considerations in development of the scale: 1. Level of participation in self-selected activities offers a measure of one aspect of quality of life.
In the early stages of building an application, great leaps and bounds are found as the design meets the world and the faulty assumptions are identified.
A first crucial point is that, once the biological background assumptions are identified and exposed, it is possible to test their validity against current biological knowledge.
While some important assumptions are identified in the research, we elaborated and systematized them into a framework especially aiming at education.
The assumption of identical behaviour of added and native N was assessed and processes that may have violated the assumption were identified using a dynamic compartmental model.
Adherence to the proportional hazards assumption was investigated by plotting smoothed Schoenfeld residuals against time; no violations of the assumption were identified.
To detect whether a non-random or a random structure was dominant, the numbers of plots that deviated significantly from the random assumption were identified.
Using gologit2 with the option autofit, the variables that do not conform to the parallel slope assumption were identified and additional estimates are given.
