Analysis for Time-To-Event Data Under Censoring and Truncation
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Book Overview Survival Analysis for Bivariate Truncated Data provides readers with a comprehensive review on the existing works on survival analysis fo...
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.
Book Details Format: Paperback | Pages: 102 | Language: English | Publisher: ACADEMIC PR INC | ISBN: 0128054808
FormatPaperback
Pages102
LanguageEnglish
ISBN0128054808
EAN9780128054802
PublisherACADEMIC PR INC
Publication Date1970-01-01
Edition1
AccessoriesNo Accessory
ConditionNew
Product TypeQUALITY PAPERBACK BOOKS
Weight0.4 Pounds
Length10.8 Inches
Width8.4 Inches
Height0.3 Inches
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