However, the major challenges for evaluating the clinical significance of any of new biomarkers remain and include: 1.
This level of complexity creates challenges for evaluating the effectiveness of the intervention and for understanding how the causal mechanisms of the intervention may influence intended outcomes [ 11].
Cross-species prediction presents special challenges for evaluating results, as the expression pattern of CRM target genes in the native organism is frequently not known, and even known expression patterns cannot always be mapped cleanly between different organisms.
Since naturally occurring methane and saline groundwater are nearly ubiquitous in many sedimentary basins, delineating the effects of anthropogenic contamination sources is a major challenge for evaluating the impact of unconventional shale gas development on water quality.
Since GO relates functions in a hierarchical fashion, the next challenge for evaluating clusters is to deal with this hierarchy.
Differing durations of exposure and the accompanying severity of effects present a challenge for evaluating health effects associated with short-term, acute exposures.
The Health Effects Institute convened a working group during 1990 1992 to review the subject (Samet and Speizer 1993a), and information in the resulting papers described challenges and strategies for evaluating complex mixtures by epidemiologic (Dockery 1993; Samet and Speizer 1993b; Weiss 1993) and laboratory studies (Mauderly 1993; McDonnell 1993).
Potvin et al (2008) identified three main challenges for those evaluating HP programs: (1) defining the activity to be evaluated in order to raise pertinent evaluation questions, (2) implementing an appropriate, rigorous research methodology, and (3) producing pertinent knowledge for actions [ 9].
Quantifying such competing effects is challenging, but important for evaluating the cost-effectiveness of interventions to improve quality of ICU care in low and middle income countries.
These high-throughput data sets are not amenable to standard phylogenetic analysis, as there are substantial challenges for computing, evaluating, and visualizing alignments and phylogenies for such large data sets.
It's a myth based upon convenience -- the convenience and relative simplicity of evaluating entrepreneurs' track records, in preference to the complexities and challenges of evaluating the potential for greatness in their thinking and ideas.
