Results 101 to 110 of about 18,517 (245)
Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes
International Statistical Review, EarlyView.Summary The goal of precision medicine is to provide individualised treatment at each stage of chronic diseases, a concept formalised by dynamic treatment regimes (DTR). These regimes adapt treatment strategies based on decision rules learned from clinical data to enhance therapeutic effectiveness.
Sophia Yazzourh +3 more
wiley +1 more source
AbstractIn this paper, we present a logic $$\textbf{FPL}$$ FPL (Frequentist Probability Logic) to reason about probabilities with a relative frequency interpretation. We show that it is possible to interpret the language of $$\textbf{FPL}$$ FPL with the standard semantics for ...
Aldini, Alessandro +2 more
openaire +2 more sources
On Integral Priors for Multiple Comparison in Bayesian Model Selection
International Statistical Review, EarlyView.Summary Noninformative priors constructed for estimation purposes are usually not appropriate for model selection and testing. The methodology of integral priors was developed to get prior distributions for Bayesian model selection when comparing two models, modifying initial improper reference priors. We propose a generalisation of this methodology to
Diego Salmerón +2 more
wiley +1 more source
Bias Adjustment for Mean Squared Error Estimation in M‐Quantile Models for Small Area Estimation
International Statistical Review, EarlyView.Summary M‐quantile (MQ) regression provides a robust and flexible alternative to mixed models for small area estimation. However, several theoretical aspects remain underexplored. In this paper, a parametric bootstrap method is proposed to approximate the distributions of area‐specific MQ coefficients and applied to adjust the bias in the mean squared ...
María Bugallo +3 more
wiley +1 more source
Journal of the European Academy of Dermatology and Venereology, EarlyView.Data from 2731 patients with hidradenitis suppurativa (HS) treated with biologics for 12–16 weeks in phase III randomized controlled trials (RCT) were included in a network meta‐analysis (NMA). Adalimumab showed the highest efficacy in achieving a clinical HS response 50 (HiSCR50) and the lowest incidence of adverse events (AE).
Laura Calabrese +4 more
wiley +1 more source
Journal of Fish Biology, EarlyView.Abstract Life‐history data are often lacking for exploited elasmobranchs, jeopardizing proper management and conservation measures for this vulnerable group. Herein, we provided age and growth estimates for the groovebelly stingray (Dasyatis hypostigma), a medium‐sized, heavily exploited batoid endemic to the southwestern Atlantic Ocean.
Giovanni Arlan Torres +5 more
wiley +1 more source
Effects of motor and cognitive‐motor training on cognitive performance in healthy older adults
Journal of Neuropsychology, EarlyView.Abstract With a rapidly aging global population, identifying effective strategies to preserve cognitive health and functional independence is increasingly important. This study investigated the effects of motor and combined cognitive‐motor training on cognitive performance and well‐being in healthy older adults against a control condition. Participants
Silvia Gobbo +2 more
wiley +1 more source
Overview of Frequentist and Bayesian approach to Survival Analysis
Applied Medical Informatics, 2016 Survival analysis is one of the main areas of focus in medical research in recent years. Survival analysis involves the concept of 'Time to event'. The event may be mortality, onset of disease, response to treatment etc.
Vinaitheerthan RENGANATHAN
doaj
Do robots boost productivity? A quantitative meta‐study
Journal of Economic Surveys, EarlyView.ABSTRACT This meta‐study analyzes the productivity effects of industrial robots. More than 1800 estimates from 85 primary studies are collected. The meta‐analytic evidence suggests that robotization has so far provided, at best, a small boost to productivity. There is strong evidence of publication bias in the positive direction.
Florian Schneider
wiley +1 more source
Econometrics at the Extreme: From Quantile Regression to QFAVAR1
Journal of Economic Surveys, EarlyView.ABSTRACT This paper surveys quantile modelling from its theoretical origins to current advances. We organize the literature and present core econometric formulations and estimation methods for: (i) cross‐sectional quantile regression; (ii) quantile time series models and their time series properties; (iii) quantile vector autoregressions for ...
Stéphane Goutte +4 more
wiley +1 more source