Sentence examples for uncertainty in studies of from inspiring English sources

This work highlights and quantifies two sources of uncertainty in studies of SIC needed to inform future research.

Improving the accuracy of geocoded addresses reduces uncertainty and bias in studies of geographically-based environmental exposures, but can often be costly and labor intensive [ 15, 16].

The projection of future climate regimes is invariably a source of uncertainty in modelling studies of climate change impacts on forest health and productivity.

A significant source of uncertainty in studies that use drinking-water concentration as the exposure metric is that the level of municipal, unfiltered water consumption of individual subjects is unknown.

Furthermore, the fraction of crops and pastures and their parameterization in land surface models have been identified as an important source of uncertainty in attribution studies of global land use change on regional climate [ Pitman et al., 2009].

Part of this uncertainty relates to conflicting results found in studies of IPF myofibroblasts.

This DA may benefit patients with a baseline uncertainty about their choice, similarly to findings in studies of other DAs [ 30].

The great sensitivity of the cost-effectiveness ratio to outcome reflects the range of uncertainty in study outcomes themselves, particularly for the number needed to treat to achieve the A1C goal.

We included a sensitivity analysis to test the robustness of our findings, but it is impossible to eliminate all uncertainty in a study of this nature.

The lack of accurate, quantitative measures of exposure, and information about their relationship to one another and to disease, is the greatest source of uncertainty in epidemiologic studies, limiting the power of such studies to enable definitive conclusions about the association between exposure and disease.

When attempting to assess the economic competitiveness of algal biofuels, an important source of uncertainty in existing studies is the extrapolation of lab and pilot-scale data to industrial scale production (Collet et al. 2013).