Abstract
AbstractClinical trials and epidemiologic studies, which measure duration until some endpoint of interest, often follow subjects who may arrive at random or “staggered” times and may remain under observation until occurrence either of the endpoint or censoring/withdrawal. An important theme of statistical methodological development over the past three decades has been to understand how to handle such data. Building on earlier ideas (Lexis Diagrams, life tables), the treatment of staggered data has required sophisticated mathematical treatment (counting processes, martingales, repeated significance tests), but has practical impact in the interim analysis and early stopping of survival experiments.
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