Buckley–James method for analyzing censored data, with an application to a cardiovascular disease and an HIV/AIDS study
Abstract. The Buckley–James method and the Cox proportional hazards model were
proposed in the 1970s. Both methods can be used to analyze survival-type
data, although the former focuses on calculation of the expected value of
the survival time and the latter on the relative risk of explanatory
variables on the failure event. In cardiovascular disease epidemiological
studies, it is essential to correct the effect of taking antihypertensive
medicine, which means we need to calculate the expected blood pressure for
people who take the medicine. I developed a Stata program to calculate the
Buckley–James estimate. I will describe how to use this program to
calculate the expected value of a censored outcome and illustrate the method
through an example from a cardiovascular disease and an HIV/AIDS study.
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James Cui
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Buckley–James method, censoring, expectation, survival
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