The phrase "absence of precise data" is correct and usable in written English.
It can be used when discussing a lack of specific or accurate information in a particular context, such as research or analysis.
Example: "The report highlights the absence of precise data, which limits our ability to draw definitive conclusions."
Alternatives: "lack of accurate information" or "deficiency of specific data."
In the absence of precise data from veterinary studies, sheep should therefore ideally be operated when they reach between 70% and 90% of the adult height.
However, analyses of the direct relationship between environmental factors and human malaria, especially using high-resolution images and/or subclassification of land cover in such detail are scarce, most probably due to the absence of precise data on malaria incidence and exact description of the land cover in large areas.
In the absence of precise information, the IUCN lists the species as Data Deficient.
The available data and the arbitrary definitions we had to use, in light of the absence of precise scientific data on P. jirovecii infection, are limitations of our study.
In the absence of precise prior information about the functional relationship underlying the data it is best to parameterize the mean and covariance function and estimate the parameters from the available data.
This French penchant for abstraction appears in most paradoxical (and perverse) form in the absence of precise statistical information about their Maghrebi minorities, as it is illegal to collect data about ethnicity and religion in France.
There are alternative rules that appeal to confidence even in the absence of precise cardinal weights.
A high number of 0 and 100 responses probably reflects absence of precise beliefs and therefore some uncertainty.
There was an absence of precise analyses of how sound peaks may be linked to sleep arousals.
In absence of precise estimates, we use the HSV-2 transmission probability per coital act as one of the model fitting parameters, but constrain its value to be in the range suggested by the empirical data.
