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Analysis for Time-to-event Data Under Censoring and Truncation (Paperback) (Hongsheng Dai & Huan Wang)

Analysis for Time-to-event Data Under Censoring and Truncation (Paperback) (Hongsheng Dai & Huan Wang) - image 1 of 1

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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
Number of Pages: 162
Genre: Mathematics
Format: Paperback
Publisher: Elsevier Science Ltd
Author: Hongsheng Dai & Huan Wang
Language: English
Street Date: September 27, 2016
TCIN: 51987491
UPC: 9780128054802
Item Number (DPCI): 248-38-4269
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