Results 41 to 50 of about 353,766 (277)
Frontiers in GeneticsWith an estimated 263 million cases recorded worldwide in 2023, malaria remains a major global health challenge, particularly in tropical regions with limited healthcare access.
Adèle Helena Ribeiro +5 more
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Causal assessment in demographic research
Genus, 2020 Causation underlies both research and policy interventions. Causal inference in demography is however far from easy, and few causal claims are probably sustainable in this field. This paper targets the assessment of causality in demographic research.
Guillaume Wunsch, Catherine Gourbin
doaj +1 more source
Composition of volatile compounds in bovine milk heat treated by instant infusion pasteurization and correlation to sensory analysis [PDF]
, 2010 Volatile compounds in skim milk and nonstandardised milk subjected to instant infusion pasteurisation at 80°C, 100°C and 120°C were compared with raw milk, high temperature short time pasteurised milk and milk pasteurised at 85°C/30 s.
Bredie, Wender L. P. +4 more
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Epidemiology and Psychiatric SciencesAims The study assessed the interactions and the impact of specialist mobile community care teams (assertive outreach teams or AOTs) implemented in the mental health (MH) system of Bizkaia (Spain) using a methodology derived from an ecosystem perspective.
N. Almeda +5 more
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Inferring causal relations by modelling structures
Statistica, 2013 This paper provides an overview of structural modelling in its close relation to explanation and causation. It stems from previous works by the authors and stresses the role and importance of the notions of invariance, recursive decomposition, exogeneity
Michel Mouchart +2 more
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The causal differential scattering approach to calculating the effective properties of random composite materials with a particle size distribution [PDF]
, 2009 An implementation of the Causal Differential Method (CDM) for modelling the effective properties of a random two-phase composite material is presented. Such materials are commonly used as ultrasonic transducer matching layersor backing layers. The method
Mulholland, A.J. +2 more
core +1 more source
Beyond Structural Causal Models: Causal Constraints Models
, 2018 Structural Causal Models (SCMs) provide a popular causal modeling framework. In this work, we show that SCMs are not flexible enough to give a complete causal representation of dynamical systems at equilibrium. Instead, we propose a generalization of the notion of an SCM, that we call Causal Constraints Model (CCM), and prove that CCMs do capture the ...
Blom, T., Bongers, S., Mooij, J.M.
openaire +3 more sources
Information Theoretic Causal Effect Quantification
Entropy, 2019 Modelling causal relationships has become popular across various disciplines. Most common frameworks for causality are the Pearlian causal directed acyclic graphs (DAGs) and the Neyman-Rubin potential outcome framework.
Aleksander Wieczorek, Volker Roth
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine +14 more
wiley +1 more source
A Causal Construction of Diffusion Processes [PDF]
, 2010 A simple nonlinear integral equation for Ito's map is obtained. Although, it does not include stochastic integrals, it does give causal construction of diffusion processes which can be easily implemented by iteration systems.
Banek, Tadeusz
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