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To obtain a nonrestricted sample of patients with CRC we have minimized selection risk by identifying the patients from pathology services.
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The quality of the data minimized selection and information biases.
We have minimized the selection risk by identifying study patients from pathology reports instead of at admission for surgery.
We enrolled patients consecutively, minimizing selection bias.
We adjusted for SES to minimize selection bias.
These mechanisms must be defined clearly to minimize selection bias.
No exclusion criteria were defined to minimize selection bias.
In order to minimize selection bias, the researcher will make an initial selection of eligible patients.
Variation in species-specific patterns were then simulated by a series of scenarios that varied the response of dispersing individuals to habitat heterogeneity, including: habitat selection to maximize energy intake, habitat selection to minimize predation risk, or habitat selection contingent on energy reserves.
Furthermore, the cohort design also minimized the risk of selection bias among the healthy boys.
Moreover, our data cover the total general population in the county of Scania, which minimized the risk for selection bias.
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