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By linking records from the national childhood cancer registry and the Swiss census and avoiding direct contact with cases and controls, our study was based on a representative sample from the entire population of Switzerland, and we used a study design that minimizes selection bias due to selection of non-representative controls.
This design minimizes selection bias.
We achieved a high response rate (91.5%) which minimizes selection bias.
The community-based surveillance design with systematic hospitalized MI event ascertainment minimizes selection bias for the current study.
We have previously demonstrated that this selection strategy minimizes selection bias in studies of upper GIB in these data.
This recruitment strategy minimizes selection bias due to self-referral or patient populations at specific clinical practices and enables a citywide and surrounding area sampling approach.
Similar(50)
We attempted to minimize selection bias by selecting cases and controls from the same population in a systematic manner.
We minimized selection bias by randomly selecting patients for inclusion and we tried to achieve equal age and sex composition in the groups.
We attempted to minimize selection bias by randomly selecting participants from a homogeneous group of physicians for the pilot focus group.
To minimize selection bias, we carefully selected controls from patients admitted for various diagnoses that were thought to be unrelated to exposures of interest.
Selecting hospital controls would best minimize selection bias due to access to care because both cases and controls have taken the same route to care.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com