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G-estimation for Accelerated Failure Time Models

2012
In this chapter we examine the problem of time-varying confounding, and one method (structural nested accelerated failure time models, estimated using and also known as g-estimation) which may be used to overcome it. A practical example is given, and the methodology demonstrated.
Kate Tilling   +2 more
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Weighted accelerated failure time model

The accelerated failure time (AFT) model is widely used in survival analysis and auxiliary information can be used to improve the efficiency of the model. We developed a weighted AFT model by using empirical likelihood probabilities as weights based on information from previous studies. The proposed model effectively overcomes the challenges associated
openaire   +1 more source

Linear Interpolation With a Nonparametric Accelerated Failure-Time Model

Journal of the American Statistical Association, 1988
Abstract Assuming a nonparametric accelerated failure-time model, a method is proposed for extrapolating low stress-response probabilities on negative-sloping line segments in the stress-failure-time plane. The method (analogous to linear interpolation in dose-response studies) results in simultaneous extrapolation ahead in time and down in stress.
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A Nonproportional Hazards Weibull Accelerated Failure Time Regression Model

Biometrics, 1991
We present a study of risk factors measured in mean before age 50 and subsequent incidence of heart disease over 32 years of follow-up. The data are from the Framingham Heart Study. The standard accelerated failure time model assumes the logarithm of time until an event has a constant dispersion parameter and a location parameter that is a linear ...
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Data‐driven estimation for multithreshold accelerated failure time model

Scandinavian Journal of Statistics
AbstractThis article develops a novel estimation framework for the multithreshold accelerated failure time model, which has distinct linear forms within different subdomains. One major challenge is to determine the number of threshold effects. We first show the selection consistency of a modified Bayesian information criterion under mild conditions. It
Chuang Wan   +4 more
openaire   +2 more sources

Analysis of Failure Time Data with Mixed-Effects Accelerated Failure Time Model

Communications in Statistics - Simulation and Computation, 2011
In randomized clinical trials or observational studies, subjects are recruited at multiple treating sites. Factors that vary across sites may have some influence on outcomes; therefore, they need to be taken into account to get better results. We apply the accelerated failure time (AFT) model with linear mixed effects to analyze failure time data ...
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Breast Cancer Statistics, 2022

Ca-A Cancer Journal for Clinicians, 2022
Hyuna Sung   +2 more
exaly  

Accelerated Failure Time Models: A Review

2014
In classical life data analysis, one typically collects failure-time data by operating a set of units under usual (or design) stress conditions. But in reliability engineering, due to a variety of reasons such as cost and time constraints, one often wishes to collect the data more quickly than is allowed under the normal operating conditions.
openaire   +1 more source

Antibody–drug conjugates: Smart chemotherapy delivery across tumor histologies

Ca-A Cancer Journal for Clinicians, 2022
Paolo Tarantino   +2 more
exaly  

Accelerated failure time models for right censored failure time data

Journal of the Korean Data And Information Science Sociaty, 2018
Sangwook Kang, Kyu hyun Kim
openaire   +1 more source

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