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Aalen's additive model defines the covariate effects on the survival outcome to be time-varying. The aim of this paper is to explore the application of Aalen's model in assessing treatment effects, adjusting for possibly different patient profiles between the treatment groups. We treat Aalen's model as the underlying model and compute the direct adjusted(More)
Aalen's additive hazards model has gained increasing attention in recently years because it model all covariate effects as time-varying. In this thesis, our goal is to explore the application of Aalen's model in assessing treatment effect at a given time point with varying covariate effects. First, based on Aalen's model, we utilize the direct adjustment(More)
Incompleteness is a major feature of time-to-event data. As one type of incompleteness, truncation refers to the unobservability of the time-to-event variable because it is smaller (or greater) than the truncation variable. A truncated sample always involves left and right truncation. Left truncation has been studied extensively while right truncation has(More)
reproduction in any medium, provided the original work is properly cited. Objective To present the design and preliminary results of a pilot study to investigate the use of opt-in Internet panel surveys for behavioral health surveillance. Introduction Today, surveyors in both the private and public sectors are facing considerable challenges with random(More)
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