Results 1 to 10 of about 161,384 (144)

Bibliometric revision regarding the use of survival analysis in seed germination studies [PDF]

open access: yesCiência Rural, 2023
: Studies on seed science are developed for a wide range of purposes, being the statistical analysis of data essential for experimental reliability and evidence.
Gustavo Dutra Roesler   +2 more
doaj   +1 more source

Tsallis Entropy for Loss Models and Survival Models Involving Truncated and Censored Random Variables

open access: yesEntropy, 2022
The aim of this paper consists in developing an entropy-based approach to risk assessment for actuarial models involving truncated and censored random variables by using the Tsallis entropy measure.
Vasile Preda   +4 more
doaj   +1 more source

An advanced planner for urban freight delivering [PDF]

open access: yesArchives of Transport, 2018
The paper aims at introducing an advanced delivery tour planner to support operators in urban delivery operations through a combined approach which chooses delivery bays and delivery time windows while optimizing the delivery routes.
Antonio COMI   +5 more
doaj   +1 more source

Estimating Hazard Function and Survival Analysis of Tuberculosis Patients in Erbil city

open access: yesTikrit Journal of Administrative and Economic Sciences, 2021
The study aimed to estimate the effects of prognostic factors on tuberculosis (TB) survival. Two models have been studied (Logistic model and Cox regression models) in survival analysis.
Kurdistan Ibrahim Mawlood   +1 more
doaj   +1 more source

Joint lifetime modeling with matrix distributions

open access: yesDependence Modeling, 2023
Acyclic phase-type (PH) distributions have been a popular tool in survival analysis, thanks to their natural interpretation in terms of aging toward its inevitable absorption.
Albrecher Hansjörg   +2 more
doaj   +1 more source

cglasso: An R Package for Conditional Graphical Lasso Inference with Censored and Missing Values

open access: yesJournal of Statistical Software, 2023
Sparse graphical models have revolutionized multivariate inference. With the advent of high-dimensional multivariate data in many applied fields, these methods are able to detect a much lower-dimensional structure, often represented via a sparse ...
Luigi Augugliaro   +3 more
doaj   +1 more source

A Brief Overview of Restricted Mean Survival Time Estimators and Associated Variances

open access: yesStats, 2020
Restricted Mean Survival Time ( R M S T ) experiences a renaissance and is advocated as a model-free, easy to interpret alternative to proportional hazards regression and hazard rates with implication in causal inference. Estimation of R M S T
Szilárd Nemes   +2 more
doaj   +1 more source

Informative Censoring—A Cause of Bias in Estimating COVID-19 Mortality Using Hospital Data

open access: yesLife, 2023
(1) Background: Several retrospective observational analyzed treatment outcomes for COVID-19; (2) Methods: Inverse probability of censoring weighting (IPCW) was applied to correct for bias due to informative censoring in database of hospitalized patients
Hung-Mo Lin   +7 more
doaj   +1 more source

Beyond first-order asymptotics for Cox regression [PDF]

open access: yes, 2015
To go beyond standard first-order asymptotics for Cox regression, we develop parametric bootstrap and second-order methods. In general, computation of $P$-values beyond first order requires more model specification than is required for the likelihood ...
Bellio, Ruggero, Pierce, Donald A.
core   +2 more sources

A semi-Markov model for stroke with piecewise-constant hazards in the presence of left, right and interval censoring. [PDF]

open access: yes, 2013
This paper presents a parametric method of fitting semi-Markov models with piecewise-constant hazards in the presence of left, right and interval censoring. We investigate transition intensities in a three-state illness-death model with no recovery.
Aalen OO   +14 more
core   +1 more source

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