When adequate empirical data on uncertain variables is lacking, non-probabilistic approaches to quantify uncertainties become appropriate.
Factors associated with the risk of intrapartum fetal compromise are yet to be established, and a comprehensive model accounting for both the antenatal and intrapartum variables is lacking.
However, the aspects have not yet been systematically examined because a tool enabling the independent control of the matrix variables is lacking.
The final model was overdispersed, indicating that main explanatory variables were lacking [43].
Other information on English proficiency, ethnicity, and race variables were lacking.
Balanced coverage of variables was lacking and estimates for wild populations and behavioral traits were nearly absent.
A comparison of the participating and non-participating schools in terms of other variables (e.g. school resources or staff-to-children ratio) was not possible because information on those variables was lacking.
At the individual level, the significant variables were lack of burnout, satisfaction to work, and older mean age, while at the ICU level a high physician and nurse-to-bed ratio and an important workload per day were significant.
There is currently no consensus on how to compare and present such variables, and recommendations are lacking.
However, comprehensive baseline data describing the replicability, longitudinal development, and major confounding effects on pressure mat variables in weaned piglets are lacking.
Early life development and dispersal strategies are highly variable, however, and descriptions are lacking for a large number of taxa.
