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Dynamic Inference on Survival Functions

1987
The inference of survival functions based on information from censored observations is considered. The hazard function is assumed to be piecewise constant along intervals. The parameters are updated via a Bayesian conjugate analysis and information is passed through intervals via dynamic relations of the parameters.
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Parametric survival functions

2001
Cox proportional-hazard regression has been essentially the automatic choice of analysis tool for modeling survival data in medical studies. However, the Cox model has several intrinsic features that may cause problems for the analyst or an interpreter of the data. These include the necessity of assuming proportional hazards and the very noisy estimate
openaire   +1 more source

Health insurance status and cancer stage at diagnosis and survival in the United States

Ca-A Cancer Journal for Clinicians, 2022
Jingxuan Zhao   +2 more
exaly  

FETAL RESPIRATORY FUNCTION AND PERINATAL SURVIVAL

The Lancet, 1982
G, Simbruner   +3 more
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Cancer treatment and survivorship statistics, 2022

Ca-A Cancer Journal for Clinicians, 2022
Kimberly D Miller   +2 more
exaly  

Breast Cancer Statistics, 2022

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

Functional Clustering for Survival Curves

This paper investigates the underexplored area of clustering multiple survival curves, with a focus on the advantages of Functional Data Analysis for analyzing survival or hazard functions to exploit their inherent continuous nature. We propose customized functional methods, particularly leveraging Functional Principal Component Analysis, and compare ...
Mariarita De Lucia   +2 more
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