Analysis for Time to Event Data under Censoring and Truncation is popular PDF and ePub book, written by Hongsheng Dai in 2016-10-06, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Analysis for Time to Event Data under Censoring and Truncation can be Read Online from any device for your convenience.
Analysis for Time to Event Data under Censoring and Truncation Book PDF Summary
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
Detail Book of Analysis for Time to Event Data under Censoring and Truncation PDF
- Author : Hongsheng Dai
- Release : 06 October 2016
- Publisher : Academic Press
- ISBN : 9780081010082
- Genre : Mathematics
- Total Page : 104 pages
- Language : English
- PDF File Size : 20,5 Mb
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