The phrase "are changing over time" is a correct and usable phrase in written English.
You can use this phrase to express the idea that something is changing or evolving over a period of time. For example: "The societal norms of our culture are changing over time."
This is usually the case when wanting to answer the question "why is there a change?" or examining how the relationships among some variables are changing over time.
The national perspective is important because policy-makers need to understand how settlement patterns are changing over time and what the implications are for social change, poverty and health.
In clinical research, the subscale and total AntiA scores can be used to characterize anti-angiogenesis side effects and the extent to which they are changing over time, likely to be a more reliable estimate of change than one obtained, for example, by asking the patient informally or relying upon Common Terminology Criteria for Adverse Events (CTCAE).
Of primary interest in these experiments is identifying genes that are changing over time or space, for example, and then characterizing the specific expression changes.
Furthermore, goals agreed upon shortly before discharge or in the follow-up period will be compared to the initial goals to help explore whether goals are changing over time, and if there are trends or patterns that characterize such changes.
They also measure relative survival using deprivation-specific life tables to estimate background mortality, which helps to guard against artifactual changes in survival inequalities that may arise if inequalities in background mortality are changing over time (Rachet et al, 2009).
In his joint work with Thomas J. Sargent, which in 2008 led to their coauthored book Robustness, Hansen laid the foundations of a new theory that better explained how people make decisions when their own beliefs are changing over time.
Tate Cantrell: Where you put your servers is changing and the requirements are changing over time.
There are a few definitions of the three regions, which are changing over time.
Both seem to use fewer email addresses but many different phone numbers are changing over time.
Time series forecasting models are useful at predicting values that are changing over time [10].
