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These are based on simulation results obtained for a limited number of designs using data fitting.
Finally, there is increased demand for innovative study designs using data from routine practice settings to compare strengths and weaknesses of various medical interventions.
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Our method was designed using data from several SG centers, which allows us to generalize over multiple protocols.
We used a retrospective cross-sectional study design using data from a nationally representative household survey in the United States (US).
Methods: A cross-sectional retrospective design using data from the Massachusetts Department of Public Health was implemented.
The system is designed using data from an iron-melting cupola furnace.
Thus, we apply a cross-lagged panel design using data from two (time-lagged) surveys.
We employed a mixed methods design using data from medical charts, electronic records, and semi-structured interviews.
The scale-up was designed using data obtained at laboratory scale and considering an annual productivity goal of 200 t.
We illustrate the design using data from patients scheduled for total hip (THA) or knee (TKA) arthroplasty.
Results showed that when a unique sensor system design was not needed, sensor systems designed using data from simpler airflow models could perform just as well as those designed using CFD data.
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