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- W2018689209 abstract "In a randomized clinical mortality trial, if some patients switch treatment groups (called treatment crossover in some publications but not to be confused with a classical crossover experimental design), it can cause problems in statistical design, data analysis, and interpretation, because the original randomization scheme has been changed in a nonrandomized manner. These changes can cause treatment effects to be more similar. The data are usually censored at the switching point based on considerations of treatment interaction, that is, the information after switching is not included in the data analysis. Another type of data is nonsynchronized interval-censoring. If the clinical mortality trial has multiple clinical examinations for each patient and a time-to-event variable (survival time), the survival time is interval-censored. In practice, the times of clinical examinations are different so that the data are nonsynchronized interval-censored resulting in difficulties with data analysis. Normally, the interval-censoring is ignored so that the information is not appropriately included in the data analysis where the patient is surviving until the next-to-last visit if an event is observed. In this article, we propose a statistical model with the estimation of the baseline hazard function for data analysis of treatment crossover or non-synchronized interval-censoring." @default.
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- W2018689209 date "2010-05-01" @default.
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- W2018689209 title "Statistical Analysis for Treatment Crossover or Nonsynchronized Interval-Censoring Data in a Mortality Trial" @default.
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- W2018689209 doi "https://doi.org/10.1198/sbr.2009.0068" @default.
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