Look left, look right: censoring in clinical research
Rolf H. H. Groenwold, Olaf M Dekkers
Abstract
Open-access reader
Rolf H. H. Groenwold, Olaf M Dekkers
Abstract
Open-access reader
In this methodology editorial, the problem of censored survival (or time-to-event) data in clinical research is discussed. In case of censored observations, part of the observation time for some participants in a study is unobserved, which means that measures such as an average survival time cannot be calculated. Instead, censored survival time should explicitly be accounted for in the analysis of a study, for example using the Kaplan-Meier method. Implications of censoring and how to deal with it in the analysis of a study or when reading a research paper are discussed.
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In this methodology editorial, the problem of censored survival (or time-to-event) data in clinical research is discussed. In case of censored observations, part of the observation time for some participants in a study is unobserved, which means that measures such as an average survival time cannot be calculated. Instead, censored survival time should explicitly be accounted for in the analysis of a study, for example using the Kaplan-Meier method. Implications of censoring and how to deal with it in the analysis of a study or when reading a research paper are discussed.
Key concepts: Censoring (clinical trials), Internal medicine, Medicine, Cardiology, Endocrinology, Pathology