دورية أكاديمية

Analysis of oldest-old mortality: lifetables revisited

التفاصيل البيبلوغرافية
العنوان: Analysis of oldest-old mortality: lifetables revisited
المؤلفون: Wang, Jane-Ling, Müller, Hans-Georg, Capra, William B.
بيانات النشر: The Institute of Mathematical Statistics
سنة النشر: 1998
المجموعة: Project Euclid (Cornell University Library)
مصطلحات موضوعية: Hazard function, hazard surface, smoothing, local polynomial fitting, discretization bias, transformation, samples of lifetables, aging, nematodes, biodemography, 62G07, 62P10, 62N05, 62P05
الوصف: This paper provides a data analysis and some methodological advances which contribute to an ongoing scientific debate about the patterns of aging. One of the problems we address is how to estimate a hazard function when only aggregated information on the lifetimes in the form of a lifetable is available. This problem affects the the estimation of oldest-old mortality which in turn plays an important role in the quantification of biological lifespan and longevity. We illustrate these issues with an analysis of mortality data obtained from cohorts of nematodes. The methods involve data transformation with the aim of bias reduction when estimating the hazard function. We provide rigorous asymptotic results for the smoothing of lifetables and show that the transformation approach is supported by both asymptotic and simulation results. We also demonstrate how the information contained in many samples of lifetables, as typically obtained in aging experiments, can be summarized in a two-dimensional hazard surface.
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
تدمد: 0090-5364
العلاقة: http://projecteuclid.org/euclid.aos/1030563980Test; Ann. Statist. 26, no. 1 (1998), 126-163
DOI: 10.1214/aos/1030563980
الإتاحة: https://doi.org/10.1214/aos/1030563980Test
http://projecteuclid.org/euclid.aos/1030563980Test
حقوق: Copyright 1998 Institute of Mathematical Statistics
رقم الانضمام: edsbas.7F870705
قاعدة البيانات: BASE
الوصف
تدمد:00905364
DOI:10.1214/aos/1030563980