Accounting for Selection Bias in Studies of Acute Cardiac Events

Banack HR, Harper S, Kaufman JS. “Accounting for Selection Bias in Studies of Acute Cardiac Events” Canadian Journal of Cardiology. 2018; 34: 709–716. DOI: 10.1016/j.cjca.2018.01.013 Citations: 22

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Abstract:

Background: In cardiovascular research, pre-hospital mortality represents an important potential source of selection bias. Inverse probability of censoring weights are a method to account for this source of bias. The objective of this article is to examine and correct for the influence of selection bias due to pre-hospital mortality on the relationship between cardiovascular risk factors and all-cause mortality after an acute cardiac event.