The phrase "absence of specific data" is correct and usable in written English.
It can be used when discussing a lack of detailed information or evidence in a particular context, such as research or analysis.
Example: "The conclusions drawn from the study are limited due to the absence of specific data regarding participant demographics."
Alternatives: "lack of detailed information" or "unavailability of precise data."
In the absence of specific data from the literature on the frequency of observation of head pain in the neurorehabilitative setting, it seems reasonable to estimate that the most frequent types of head pain likely to be encountered in the neurorehabilitative setting are tension-type headache and migraine, based on their high prevalence in the general population.
This Step is based on the recognition that if the doses reaching a receptor are sufficiently small, it may be possible to reach a conclusion that no further action is required despite the absence of specific data on the toxicity of the compounds.
Thirty studies were excluded from the analysis because of cross-over (or other) design [33] [40], non-dichotomized definition of responders or absence of specific data [41] [43], placebo arms with fewer than 10 patients [44] [46], data reported elsewhere or re-analysis of previous report [25], [47] [53], or lack of placebo arm [54] [59].
Fatty acids were similarly scaled, in the absence of specific data.
In the absence of specific data, an MSC assay could inform a risk assessor of the selective concentration of a pharmaceutical or complex mixture of compounds in a matrix of choice, allowing description of thresholds for significant ARB development.
65 In the absence of specific data for Spain, standard error proportions of the mean for fracture costs were derived from data from Sweden and were based on the CIs of the whole samples for the respective fracture types.
Secondary analysis of data, including the absence of specific information needed and necessities of using proxies.
The main limitations are those inherent to any secondary analysis of data, including the absence of specific information needed and necessities of using proxies.
The biological input to the model consists of the effective length distribution of the binding sequences recognized by the transcription factors of yeast [3], [9] and the form of the length distribution of the intergenic regions [18], in the absence of more specific data regarding the lengths of the promoter regions.
This paper illustrates how, in the absence of specific usage data, structural and other data may be used to provide some estimates of daily work rates.
For design purposes and in the absence of any specific data, the literature comparisons encourage the use of the correlation for other neighboring regions along the desert belt that extends from the Atlantic Ocean to the Persian Gulf.
