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From our data, we cannot predict how such misclassification would impact on our results.
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However, we do not believe that any misclassification would have had a substantial impact on the overall findings of this analysis.
Thus, any major source of exposure misclassification would have to affect subjects' and proxies' responses similarly.
However, the impact of nondifferential misclassification would be to attenuate the association between activity and mortality.
Assuming a valid bias model, it appears that this differential misclassification would not have had a substantial impact on the results of the current study.
However, the potential impact of this misclassification would be small because most PLSS sections fell entirely within the larger buffer distances (e.g., 5 and 8 km) used in our analysis.
Some level of misclassification is unavoidable when working with computerized databases; however, the impact of non-differential misclassification would have most likely biased our estimates of effect toward the null and would not explain the strong associations and dose-response relationships observed in our study.
This misclassification would be very important if we were investigating the impact of clinical sepsis.
Any residual misclassification would presumably be nondifferential and would not have any major impact on the findings.
Such misclassification would lead to our observed risks underestimating true risks.
This potential misclassification would have weakened any demonstrable associations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com