Sentence examples for methodological challenges including from inspiring English sources

The nature of disasters entails several methodological challenges, including sampling strategies, randomization and data collection procedures.

Although randomized controlled trials (RCTs) are considered the most valid approach to evaluate screening effects, they also face a number of methodological challenges, including nonadherence and contamination.

Such evaluations entail several methodological challenges, including rapid access to the area and recruitment of participants [12, 13] as well as difficulties to conduct randomized, controlled and ethically approved studies in a disaster area [14].

Such studies face methodological challenges including poor availability of data on the content of key micronutrients in local foods.

This research is characterized by intrinsic methodological challenges including extrapolation of information from lawsuit evaluation reports to make PTSD diagnoses rather than any direct measure of child PTSD.

Yet, to date, few of these therapies have been adequately evaluated for effectiveness, in part because of methodological challenges including recruiting sufficient numbers of participants, designing reasonable interventions and selecting appropriate control groups.

Methodological challenges include the lack of systematically applied terminology in suicide and risk factor research, the low base rate of suicide, and its complex, multidetermined nature.

Methodological challenges include sampling bias and computational complexity.

Methodological challenges included: appropriate sample recruitment, exchangeability of treatment and control groups, controlling unmeasured confounding, and specifying exposure.

Methodological challenges include inflated variability in accelerometry measurements and the wide variation in tools and methods used to collect non-accelerometer data.

Methodological challenges included designing a broad search to encompass qualitative and quantitative research, quality assessment of various quantitative study designs by one set of criteria and standardising the data extraction and synthesis of qualitative evidence.