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A split sample approach was used to find the balance between the possibility of omitted variable bias and cognitive burden; one version of the questionnaire used DCE with the lower number of attributes, of which some were multidimensional, while the other version used DCE with the greater number of more specific attributes.
A split sample approach was used, whereby 80% of the patients were randomly selected for model development and the remaining 20% were used for model validation.
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The split sample approach is a widely used study design in high dimensional settings.
The sample approached was stratified by each country of the UK, postal town or county, and date of joining Coeliac UK.
A stratified multistage sampling approach was used in selecting respondents.
A multistage sampling approach was used to select the informants.
A simulation-based re-sampling approach was used to determine sufficient sample size.
The voxel-based uniform sampling approach was used to select these points.
In Germany, a two-stage register-based sampling approach was implemented.
A random sampling approach was employed throughout the selection process of the respondents.
Our proposed voxel-based uniform sampling approach was robust and efficient in almost all tested cases.
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