It takes the average reader 1 hour and 42 minutes to read Analysis for Time-to-Event Data under Censoring and Truncation by Hongsheng Dai
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Survival Analysis for Bivariate Truncated Data provides readers with a comprehensive review on the existing works on survival analysis for truncated data, mainly focusing on the estimation of univariate and bivariate survival function. The most distinguishing feature of survival data is known as censoring, which occurs when the survival time can only be exactly observed within certain time intervals. A second feature is truncation, which is often deliberate and usually due to selection bias in the study design. Truncation presents itself in different ways. For example, left truncation, which is often due to a so-called late entry bias, occurs when individuals enter a study at a certain age and are followed from this delayed entry time. Right truncation arises when only individuals who experienced the event of interest before a certain time point can be observed. Analyzing truncated survival data without considering the potential selection bias may lead to seriously biased estimates of the time to event of interest and the impact of risk factors. Assists statisticians, epidemiologists, medical researchers, and actuaries who need to understand the mechanism of selection bias Reviews existing works on survival analysis for truncated data, mainly focusing on the estimation of univariate and bivariate survival function Offers a guideline for analyzing truncated survival data
Analysis for Time-to-Event Data under Censoring and Truncation by Hongsheng Dai is 102 pages long, and a total of 25,704 words.
This makes it 34% the length of the average book. It also has 31% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 2 hours and 20 minutes to read Analysis for Time-to-Event Data under Censoring and Truncation aloud.
Analysis for Time-to-Event Data under Censoring and Truncation is suitable for students ages 10 and up.
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