Carte Analysis for Time-to-Event Data under Censoring and Truncation Hongsheng Dai

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

Limbă: engleză
Legare: Carte broșată
Disponibilitate: În depozitul extern
Expediem în 10-18 zile
409.54 lei
Survival Analysis for Bivariate Truncated Data provides readers with a comprehensive review on the e...

Informații despre carte

Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2016
Pagini
102
EAN
9780128054802
ISBN
0128054808
Enbook ID
12496225
Greutate
324
Dimensiuni
310 x 218 x 9

Descriere completă

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 biasReviews existing works on survival analysis for truncated data, mainly focusing on the estimation of univariate and bivariate survival functionOffers a guideline for analyzing truncated survival data

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