Relaxing the independent censoring assumption in the Cox proportional hazards model using multiple imputation

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چکیده

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Relaxing the independent censoring assumption in the Cox proportional hazards model using multiple imputation

The Cox proportional hazards model is frequently used in medical statistics. The standard methods for fitting this model rely on the assumption of independent censoring. Although this is sometimes plausible, we often wish to explore how robust our inferences are as this untestable assumption is relaxed. We describe how this can be carried out in a way that makes the assumptions accessible to al...

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ژورنال

عنوان ژورنال: Statistics in Medicine

سال: 2014

ISSN: 0277-6715,1097-0258

DOI: 10.1002/sim.6274