20 papers · ranked by Valyu relevance
Bojan Kostic, Romain Crastes dit Sourd, Stephane Hess, Joachim Scheiner + 2 more
'Joachim Scheiner' 'Christian Holz‐Rau' 'Francisco C. Pereira'] aMachine Learning for Smart Mobility (MLSM) Group, Transport Division, Department of Technology, Management and Economics, Technical University of Denmark, Lyngby, Denmark bCentre for Decision Research, Leeds University Business School, University of…
Farid E Ahmed, Paul W Vos, Don Holbert
The Cox proportional hazards model is the most widely used model for survival analysis because of its simplicity. The fundamental assumption in this model is the proportionality of the hazard function. When this condition is not met, other modifications or other models must be used for analysis of survival data. We…
André Moser, Kerri Clough-Gorr, Marcel Zwahlen, Cajo ter Braak
Parameter estimates from commonly used multivariable parametric survival regression models do not directly quantify differences in years of life expectancy. Gaussian linear regression models give results in terms of absolute mean differences, but are not appropriate in modeling life expectancy, because in many…
Sean Nee
Survival analysis in biology and reliability theory in engineering concern the dynamical functioning of bio/electro/mechanical units. Here we incorporate effects of chaotic dynamics into the classical theory. Dynamical systems theory now distinguishes strong and weak chaos. Strong chaos generates Type II survivorship…
Philip Agnew
A pathogen’s virulence is a key parameter in the mathematical models on which most epidemiological theory is based. In these models virulence generally has a very specific definition where it is the increased per capita rate of mortality of infected hosts due to infection. Empirical studies involving the experimental…
Mohammad A Tabatabai, Zoran Bursac, David K Williams, Karan P Singh
A new two-parameter probability distribution called hypertabastic is introduced to model the survival or time-to-event data. A simulation study was carried out to evaluate the performance of the hypertabastic distribution in comparison with popular distributions. We then demonstrate the application of the hypertabastic…
Zahra Shayan, Seyyed Mohammad Taghi Ayatollahi, Najaf Zare
Background Competing risks, which are particularly encountered in medical studies, are an important topic of concern, and appropriate analyses must be used for these data. One feature of competing risks is the cumulative incidence function, which is modeled in most studies using non- or semi-parametric methods.…
Jens Bendel, Dennis Dobler, Arnold Janssen
The present article studies survival analytic aspects of semiparametric copula dependence models with arbitrary univariate marginals. The underlying survival functions admit a representation via exponent measures which have an interpretation within the context of hazard functions. In particular, correlated frailty…
Authors not listed
Hazard functions play a central role in survival analysis, offering insight into the underlying risk dynamics of time-to-event data, with broad applications in medicine, epidemiology, and related fields. First-order ordinary differential equation (ODE) formulations of the hazard function have been explored as…
Xiaomin Wan, Liubao Peng, Yuanjian Li, Robert K Hills
To simulate data, a number of patients with an underling survival time must be generated. Two sample sizes were chosen: 100 and 500 individuals. These sample sizes reflect the sample sizes typically included in clinical trials. To simulate survival times with censoring, two survival distributions were required, one…
Trevor Fenner, Mark Levene, George Loizou
The recent interest in human dynamics has led researchers to investigate the stochastic processes that explain human behaviour in different contexts. Here we propose a generative model to capture the essential dynamics of survival analysis, traditionally employed in clinical trials and reliability analysis in…
Daniel Gallacher
Background Economic evaluation of emerging health technologies is mandated by agencies such as the National Institute for Health and Care Excellence (NICE) to ensure their cost is proportional to their benefit. To avoid bias, NICE stipulate that the benefit of a treatment is assessed across the lifetime of the patient…
Torbjørn Ergon, Ørnulf Borgan, Chloé Rebecca Nater, Yngvild Vindenes
Mortality is a key process in ecology and evolution, and much effort is spent on development and application of statistical and theoretical models involving mortality. Mortality takes place in continuous time, and a fundamental representation of mortality risks is the mortality hazard rate, which is the intensity of…
Stefan Nowak, Johannes Neidhart, Jonas Rzezonka, Ivan G. Szendro + 2 more
A long-standing problem in ageing research is to understand how different factors contributing to longevity should be expected to act in combination under the assumption that they are independent. Standard epistasis analysis compares the extension of mean lifespan achieved by a combination of interventions to the…
Lujun Shen, Jinqing Mo, Changsheng Yang, Yiquan Jiang + 6 more
'Dan Hou' 'Jingdong Yan' 'Tao Zhang' 'Weijun Fan' 'Feng Fu'] Title: Summary The survival path mapping approach has been proposed for dynamic prognostication of cancer patients using time-series survival data. The SurvivalPath R package was developed to facilitate building personalized survival path models. The package…
Giuseppe Loffredo, Elvira Romano, Fabrizio MAturo
Functional survival models are key tools for analyzing time-to-event data with complex predictors, such as functional or high-dimensional inputs. Despite their predictive strength, these models often lack interpretability, which limits their value in practical decision-making and risk analysis. This study investigates…
Giuseppe Loffredo, Elvira Romano, Fabrizio Maturo
This paper introduces a Random Survival Forest (RSF) method for functional data. The focus is specifically on defining a new functional data structure, the Censored Functional Data (CFD), for dealing with temporal observations that are censored due to study limitations or incomplete data collection. This approach…
Fábio Demarqui
In this paper we propose a novel R package, called rsurv, developed for general survival data simulation purposes. The package is built under a new approach to simulate survival data that depends deeply on the use of dplyr verbs. The proposed package allows simulations of survival data from a wide range of regression…
Authors not listed
The fenarimol analogue EPL-BS1246 was previously discovered to be potent against Madurella mycetomatis, the causative agent of the neglected tropical disease eumycetoma. Further evaluation of a small set of fenarimol analogues in vivo revealed a correlation between efficacy and the lipophilicity (logD) of the…
Piret Avila, Tadeas Priklopil, Laurent Lehmann
Most traits expressed by organisms, such as gene expression profiles, developmental trajectories, behavioural sequences and reaction norms are function-valued traits (colloquially “phenotypically plastic traits”), since they vary across an individual’s age and in response to various internal and/or external factors…