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- W137777471 abstract "There are many practical situations where subjects can experience recurrence of an event, the event has non-negligible duration, and both the rate of the event occurrences and the accumulative event duration are of particular interest. Well-developed methods for recurrent events analysis do not take into account the event duration, which could lead to undesirable inferences in the situations. Motivated partly by the research project with BC Cancer Agency to evaluate the hospital utilization of young cancer survivors, we develop a method to analyze recurrent event data with adjustment for event duration. Our methodology can be viewed as an extension of the well-established approaches for recurrent events. We also propose an approach to fitting semiparametric models for a general response process, which includes counting process as a special case. Data from the cancer project are used throughout the thesis to illustrate our formulation and approaches." @default.
- W137777471 created "2016-06-24" @default.
- W137777471 creator A5091491318 @default.
- W137777471 date "2006-01-01" @default.
- W137777471 modified "2023-09-27" @default.
- W137777471 title "Generalized longitudinal data analysis, with application to evaluating hospital utilization based on administrative database" @default.
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