Sentence examples for methodological challenges such from inspiring English sources

Their proliferation might have been hampered by methodological challenges such as the difficulty applying existing statistical procedures.

We also emphasize relevant methodological challenges, such as motion artifact correction, which are particularly important to consider when applying network tools to developmental neuroimaging data.

Epidemiologic studies have revealed generally weak associations due to several methodological challenges such as lack of standard classifications of shift or night work.

Furthermore, self-reports are widely used to assess individual personality traits, and this presents some methodological challenges, such as the so-called Reference Group Effect the tendency of individuals to self-report psychological issues not in absolute levels, but rather relative to a significant comparison group (Crede et al. 2010; Heine et al. 2008).

The limitation of our data is based on methodological challenges such as the recruited sample.

This leads to methodological challenges such as poor microarray annotation and inability to perform TFBS analysis.

A randomized controlled trial, including a sham saline treatment arm, needs to be performed to properly assess SGB's effects on hot flashes, Methodological challenges with such a study design are addressed and several suggestions are proposed to manage these challenges.

Different approaches which were developed to assess singular aspects of bioenergy use will be integrated, and the methodological challenges of such an integration will be discussed.

One of the primary methodological challenges facing such multisite trials is how to deal with site differences, and variability in treatment effects across sites.

Therefore, this paper has two objectives: (1) to present a typology of existing forecasting approaches, taking the physician workforce planning as an illustrative case; and (2) to analyse methodological challenges of such models and discuss potential paths for improvement.

The methodological challenges of such projections are numerous: most often static models are used and their uncertainty is not assessed; valid and comprehensive data to feed into the models are often lacking; and a rapidly evolving environment affects the likelihood of projection scenarios.