We attempted to minimize selection bias by selecting cases and controls from the same population in a systematic manner.
To minimize selection bias, we carefully selected controls from patients admitted for various diagnoses that were thought to be unrelated to exposures of interest.
We attempted to minimize selection bias by randomly selecting participants from a homogeneous group of physicians for the pilot focus group.
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.
Other recommendations include how to minimize selection bias and, as noted above, the articulation of transparent community standards by which a given attribution can be measured.
No randomized trials have been conducted to date; accordingly, some studies use propensity score analysis (PSA) to minimize selection bias in observational studies.
Patients could only be included once to minimize selection bias.
To minimize selection bias, a total of more than 50 individual particles were analyzed to ensure statistical representation.
The above inclusion criteria were adopted to identify a well-defined adult population and minimize selection bias.
An experimental framework that makes use of randomization of the videos and TMO combinations was used in order to minimize selection bias.
All consecutive patients from the dental clinic of the University of Zürich who had undergone one or more tooth transplantations were included in order to minimize selection bias.
