Analysis for Time-to-Event Data under Censoring and Truncation

Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book Analysis for Time-to-Event Data under Censoring and Truncation by Hongsheng Dai, Huan Wang, Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Hongsheng Dai, Huan Wang ISBN: 9780081010082
Publisher: Elsevier Science Publication: October 6, 2016
Imprint: Academic Press Language: English
Author: Hongsheng Dai, Huan Wang
ISBN: 9780081010082
Publisher: Elsevier Science
Publication: October 6, 2016
Imprint: Academic Press
Language: English

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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Elsevier Science

Cover of the book Implementing Analytics by Hongsheng Dai, Huan Wang
Cover of the book Offshore Process Safety by Hongsheng Dai, Huan Wang
Cover of the book Applications of Time-of-Flight and Orbitrap Mass Spectrometry in Environmental, Food, Doping, and Forensic Analysis by Hongsheng Dai, Huan Wang
Cover of the book Advances in Motivation Science by Hongsheng Dai, Huan Wang
Cover of the book TV White Space Communications and Networks by Hongsheng Dai, Huan Wang
Cover of the book Sustainable Textiles by Hongsheng Dai, Huan Wang
Cover of the book Annual Reports on NMR Spectroscopy by Hongsheng Dai, Huan Wang
Cover of the book Quantifying and Managing Soil Functions in Earth’s Critical Zone by Hongsheng Dai, Huan Wang
Cover of the book Economic Evaluation in Genomic Medicine by Hongsheng Dai, Huan Wang
Cover of the book Green Construction Project Management and Cost Oversight by Hongsheng Dai, Huan Wang
Cover of the book Monolithic Nanoscale Photonics-Electronics Integration in Silicon and Other Group IV Elements by Hongsheng Dai, Huan Wang
Cover of the book Advances in Biomembranes and Lipid Self-Assembly by Hongsheng Dai, Huan Wang
Cover of the book Lees' Loss Prevention in the Process Industries by Hongsheng Dai, Huan Wang
Cover of the book Basic Optics by Hongsheng Dai, Huan Wang
Cover of the book Handbook of Social Economics by Hongsheng Dai, Huan Wang
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy