| Summary: | 碩士 === 國立臺灣大學 === 流行病學研究所 === 93 === In longitudinal studies, researchers often collect data from a cross-sectional sampling scheme, in which subjects had an initial event prior to recruitment. This kind of data collected under a cross-sectional sampling criterion is called truncated data. In the random truncation model, existing statistical inferences about the survival function and regression analysis assume that the survival time and truncation time are independent in the observable region. However, the assumption of quasi-independence is unrealistic in many situations. In this study, we provide a nonparametric estimate of the conditional cumulative hazard function of survival time given truncation time under informative truncation. Finally, we use the Channing House data (Hyde, 1977) to illustrate our proposed method.
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