The phrase "assessing time" is correct and usable in written English.
It can be used when evaluating or analyzing the duration or allocation of time for a specific task or activity.
Example: "In our project review, we will be assessing time spent on each phase to identify areas for improvement."
Alternatives: "evaluating time" or "analyzing time".
Most prior work has focused on assessing time variance in model parameters conceptualizing watershed features and functions.
The benefits from the lower Da values are more significant than the disbenefits from the reduction in CT when assessing time to corrosion initiation.
Consequently, tools developed by ergonomists for assessing time aspects of work describe rest patterns, movement velocities or daily duration of exposures, while engineering tools emphasise time-efficient production.
They conducted a post-hoc sub analysis on 120 euthymic bipolar patients, assessing time to recurrence in patients undergoing group psychoeducation in relation to course of their illness.
We used the standard approach of censoring patients with prior opposite pole episodes in assessing time to depressive/mood elevation recurrence (Tohen et al. 1990).
We used the standard approaches of censoring patients with mood elevation prior to depressive recurrence in assessing time to depressive recurrence, and censoring patients with depressive prior to mood elevation recurrence in assessing time to mood elevation recurrence (Perlis et al. 2006).
The implications of verbal behavior when assessing time-place learning with humans and the possible differences in this process between humans and animals are discussed.
Assessing time-dependent material property deterioration, often a concern for polymers and their composites, is essential to evaluating the viability of novel materials to serve as lower environmental impact replacements for conventional materials.
This study contributes to the existing literature on measuring traffic congestion by proposing novel means of assessing time-varying, space-varying, and scale-varying congestion performance indicators and scaling these up to generalize about user experiences in a region.
We propose an experimental design and graphical analysis that allow for assessing time-to-mutation and dose response concordance, thereby optimizing the potential for in vivo mutation data to inform the choice of the quantitative model used in cancer risk assessment.
Moreover, the plot allows assessing time-wise association of different biomarker effects by patient.
