This lack of data also reflects a scarcity of specific information about the context in which each company developed the intervention for assessing and managing work-related stress risks, according to the literature on process intervention evaluation [ 29, 30].
Multiple imputation (MI) is becoming increasingly popular as a strategy for handling missing data, but there is a scarcity of tools for checking the adequacy of imputation models.
There is a scarcity of data on tropical influenza, due to the lack of clear seasonality and virological data to identify periods of influenza activity and its associated impact on mortality.
Complicating the situation is a scarcity of data on best practices in a college environment.
However, there is a scarcity of data validating the mechanism of cell uptake and in vivo pharmacokinetic response of organotin(IV) glycoconjugates.
However, there remains a scarcity of data about the epidemiology of PNES, and extant studies that assessed the epidemiological characteristics of PNES have significant limitations.
However, the Polish Tatra region is characterized by a scarcity of data on past floods in general and on systematic peak discharge in particular.
This type of uncertainty stems from a scarcity of data, which is especially pronounced for time periods before reliable modern measurements, and for regions in the southern hemisphere where there are fewer observational stations.
While a large literature has emerged on the likelihood of innovative activity for firms in the private sector, due to a scarcity of data little is known why innovative activity varies across organizations in the public sector.
We identified common limitations across all Use Cases, namely 1) a scarcity of data for developing, evaluating, and applying agricultural system models and 2) inadequate knowledge systems that effectively communicate model results to society.
