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Even though the use of detailed micro-data (i.e., highly disaggregated data with respect to time, product groups and households) is superior to other approaches (e.g., Akbay et al. 2007; Lazaridis 2003; Majumder et al. 2012; Thiele 2008), we face two major methodological challenges when analyzing this household expenditure survey data for sheep and goat meat.
Results from this feasibility study and from other pilot studies of educational trainings of clinicians to adopt SDM [ 19, 30, 31] may help inform other researchers address methodological challenges when planning a large RCT to evaluate shared decision making processes.
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As preference for prioritisation criteria varied across respondents, achieving a representative sample on relevant characteristics including those that may be difficult to measure is likely to be an important methodological challenge when determining preferences to inform public policy.
Variations between estimates reflect the methodological challenges faced when estimating overdiagnosis.
Inclusion though seldom happens, possibly because of methodological challenges, and when it does occur the different forms of evidence are often kept separate.
The main methodological challenge faced when analysing the relationship between informal care and labour behaviour is that informal care is usually endogenous to the process determining labour outcomes.
This complex pathophysiology adds to the methodological challenges commonly encountered when studying genetic associations.
Below we explore three methodological challenges we faced when considering how best to undertake a survey of a system rather than a single service.
It also lists methodological challenges researchers can encounter when conducting field experiments, including failure to treat, selective attrition, spillover, difficulty of replication, and black box causality, and discusses available solutions.
The papers reviewed identify the main methodological challenges that face analysts when conducting such evaluations.
To achieve valid and reliable results, these studies will need to overcome many methodological challenges that are encountered when studying symptoms in patients with advanced diseases.
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