Results 1 to 10 of about 2,712,400 (306)

barmadaslab/survival-analysis: v2.0

, 2022
Full Changelog: https://github.com/barmadaslab/survival-analysis/commits/v2.
BarmadaLab
core   +1 more source

Asymptotic Relative Efficiency of Parametric and Nonparametric Survival Estimators

, 2023
The dominance of non- and semi-parametric methods in survival analysis is not without criticism. Several studies have highlighted the decrease in efficiency compared to parametric methods. We revisit the problem of Asymptotic Relative Efficiency (ARE) of
Szilárd Nemes
core   +1 more source

Integrated Multi-omics Survival Analysis of Gynecologic and Breast Cancers [PDF]

, 2023
openThis study utilized a multi-omics approach, incorporating gene expression, methylation, copy number variation, and mutation data, to analyze the survival of patients with Breast Carcinoma and Gynecologic Cancers (Ovarian Serous Cystadenocarcinoma ...
ZOLFAGHARI, AMIN
core  

Latent diffusion models for survival analysis [PDF]

, 2010
We consider Bayesian hierarchical models for survival analysis, where the survival times are modeled through an underlying diffusion process which determines the hazard rate.
Laura M. Sangalli, G. O. Roberts, SANGALLI, LAURA MARIA, Roberts, Gareth O., Sangalli, Laura M., Gareth O. Roberts   +5 more
core   +1 more source

AI-CARE-Consortium/survival-analysis-lung-cancer: v.1.0

, 2023
<p>Code Repository for Lung Cancer Survival Analysis.</p> <p> </p ...
Rudolph, Christiane, Rath, Natalie, Holleczek, Bernd, Handels, Heinz, AI-CARE-Consortium, Germer, Sebastian, Rausch, Katharina, Katalinic, Alexander, Labohm, Louisa   +8 more
core   +1 more source

jamesrochon/OS-and-CS-Survival-Analysis: SAS Software for Overall and Conditional Survival Analysis

, 2023
SAS Software to Perform Overall and Conditional Survival Analysis in Epidemiologic Studies. This package includes code, a User's Guide, and supporting files to accompany the published paper.
jamesrochon
core   +1 more source

Genetic parameters for social effects on survival in cannibalistic layers: Combining survival analysis and a linear animal model

, 2010
Background Mortality due to cannibalism in laying hens is a difficult trait to improve genetically, because censoring is high (animals still alive at the end of the testing period) and it may depend on both the individual itself and the behaviour of its ...
Veerkamp Roel F, Veerkamp, Roel F., Ducrocq, V.P., Ducrocq, Vincent, Bijma, Piter, Bijma Piter, Ducro, B.J., Esther D Ellen, Ellen, Esther D., Bijma, P., Ellen Esther D, Ellen, E.D., Veerkamp, Roel F, Roel F Veerkamp, Ducro, Bart J., Veerkamp, R.F., Vincent Ducrocq, Ducro Bart J, Bart J Ducro, Ducrocq Vincent, Ducro, Bart J, Piter Bijma   +21 more
core   +1 more source

Parametrization and penalties in spline models with an application to survival analysis [PDF]

, 2008
A simple parametrization, built from the definition of cubic splines, is shown to facilitate the implementation and interpretation of penalized spline models, whatever configuration of knots is used.
Costa, Maria J. (Maria João), Shaw, J. Ewart H.   +1 more
core   +1 more source

The performance of multiple imputation for missing covariate data within the context of regression relative survival analysis.

, 2008
Relative survival assesses the effects of prognostic factors on disease-specific mortality when the cause of death is uncertain or unavailable. It provides an estimate of patients' survival, allowing for the effects of other independent causes of death ...
Belot, Aurélien, Launoy, Guy, Giorgi, Roch, French Network of Cancer Registries FRANCIM, Gaudart, Jean   +4 more
core   +1 more source

BUSINESS DEMOGRAPHY DYNAMICS IN PORTUGAL: A NON-PARAMETRIC SURVIVAL ANALYSIS [PDF]

We address the post-entry performance of new Portuguese firms by investigating the structural characteristics of the hazard and survival functions, using non-parametric survival analysis.
Alcina Nunes, Elsa Sarmento
core   +2 more sources