Results 21 to 30 of about 17,500,545 (334)

Neutrosophic Generalized Rayleigh Distribution with Application [PDF]

open access: yesNeutrosophic Sets and Systems, 2023
In this paper, we consider the neutrosophic generalized Rayleigh distribution (NGRD). Various neutrosophic properties of NGRD are developed and discussed. The developed distribution is specifically more useful to model indeterminate data which are skewed
Mina Norouzirad   +2 more
doaj   +1 more source

Population structure and dynamic characteristics of five wild Viburnum plants in Southwest Hubei, China

open access: yesGuangxi Zhiwu, 2023
To explore the population quantitative characteristics and regional distribution of wild Viburnum plants in Southwest Hubei, and reveal the survival status and development trend of the following five Viburnum species: V. erosum, V.
Huandun ZHAO   +6 more
doaj   +1 more source

SURVIVAL FUNCTION AND HAZARD FUNCTION ANALYSIS OF EXPONENTIAL DISTRIBUTION IN TYPE I CENSORED SURVIVAL DATA: A CASE STUDY OF BREAST CANCER PATIENTS

open access: yesBarekeng, 2023
Breast cancer is the most common cancer in women and the leading cause of cancer-related death in Indonesia. Analysis of survival data is important for improving the treatment and care of breast cancer patients. This study aims to estimate the parameters,
Ardi Kurniawan   +2 more
doaj   +1 more source

Learning Survival Distribution with Implicit Survival Function

open access: yesProceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Survival analysis aims at modeling the relationship between covariates and event occurrence with some untracked (censored) samples. In implementation, existing methods model the survival distribution with strong assumptions or in a discrete time space for likelihood estimation with censorship, which leads to weak generalization.
Ling, Yu, Tan, Weimin, Yan, Bo
openaire   +2 more sources

Survival as a Function of Life Expectancy [PDF]

open access: yesDemographic Research, 2009
It is well known that life expectancy can be expressed as an integral of the survival curve. The reverse - that the survival function can be expressed as an integral of life expectancy - is also true.
James Vaupel, Maxim Finkelstein
doaj   +4 more sources

Delayed graft function influences renal function but not survival [PDF]

open access: yesTransplantation Proceedings, 2000
In renal transplantation, the impact of delayed graft function (DGF) on prognosis is controversial. We analyzed the risk factors of DGF and its impact on graft function and prognosis.Seven hundred thirty-four cadaveric renal transplants performed between 1983 and 1997 were analyzed.
Boom, Henk   +4 more
openaire   +3 more sources

Mortality as a Function of Survival

open access: yesDemography, 2023
Abstract Everyone has a chronological age. Because survivorship declines relentlessly in populations with age-specific death rates greater than zero, everyone also has a survivorship age (“s-age”), the age at which a proportion s of the population is still alive. S-ages can be estimated for both periods and cohorts. While trajectories of
Jesús-Adrián Alvarez, James W. Vaupel
openaire   +2 more sources

Schur-concave survival functions and survival analysis

open access: yesJournal of Computational and Applied Mathematics, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Richard E. Barlow, SPIZZICHINO, Fabio
openaire   +1 more source

Preimplantation biopsy predicts delayed graft function, glomerular filtration rate and long-term graft survival of transplanted kidneys [PDF]

open access: yes, 2016
Background The predictive value of preimplantation biopsies for long-term graft function is often limited by conflicting results. The aim of this study was to evaluate the influence of time-zero graft biopsy histological scores on early and late graft ...
Bianchi, Valentina   +10 more
core   +2 more sources

Analysis of survival data with cross-effects of survival functions [PDF]

open access: yesBiostatistics, 2004
We present a model and semiparametric estimation procedures for analysis of survival data with cross-effects (CE) of survival functions. Finite sample properties of the estimators are analyzed by simulation. A goodness-of-fit test for the proportional hazards model against the CE model is proposed. The well known data concerning effects of chemotherapy
Bagdonavicius, Vilijandas   +2 more
openaire   +3 more sources

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