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Un remboursement de compte courant, sauf convention contraire, indépendant du rachat de parts
Propos introductifs au colloque "Les personnes morales confrontées aux procédures collectives"
L'urgence en santé saisie par le droit
A la source de la recherche sur l’urgence en santé, se trouvent le code de la santé publique qui énonce un certain nombre de droits pour les patients, applicables sauf urgence ou impossibilité, mais aussi des expériences en terrains de crise. L’objet de la recherche porte sur une tentative de définition de l’urgence, sous ses différentes formes, leur hiérarchisation et leurs conséquences : l’urgence n’emporte pas les mêmes effets lorsqu’elle ne concerne qu’un unique patient ou s'inscrit dans un contexte de catastrophe collective (accident industriel, épidémie, attentat…). La méthodologie retenue, fondée sur la transversalité et l'interdisciplinarité, associant les données médicales aux sciences juridiques, pousse la recherche au-delà du droit jusqu’à la dimension éthique. Elle articule la nécessité d’établir des critères juridiques précis avec celle de réserver aux cadres d'action une certaine souplesse, afin d’épouser la grande diversité des situations, de répondre aux situations les plus extrêmes, sans pour autant outrepasser certaines limites de principe.At the core of research on health emergencies lies the Public Health Code, which sets forth a series of patient rights applicable except in cases of urgency or impossibility, as well as insights drawn from crisis settings. The focus of this research is an attempt to define the concept of urgency in its various forms, establish a hierarchy among them, and examine their consequences: urgency has different implications when it concerns a single patient versus a collective disaster context (industrial accident, epidemic, terrorist attack, etc.). The adopted methodology, rooted in transversality and interdisciplinarity, combines medical data with legal sciences and extends the research beyond legal frameworks into the ethical dimension. It seeks to reconcile the need for precise legal criteria with the necessity of providing operational frameworks with a certain degree of flexibility, to accommodate the vast diversity of situations, address the most extreme cases, and yet remain within principled boundaries
Revisiting cost stickiness : A meta-analysis / Réexaminer la rigidité des coûts : une méta-analyse
Testing mean densities with an application to climate change in Vietnam
Given samples of density functions on an interval (a, b) of R, categorized according to a factor variable, we aim to test the equality of their mean functions both overall and across the groups defined by the factor. While the Functional Analysis of Variance (FANOVA) methodology is well-established for functional data, its adaptation to density functions (DANOVA) is necessary due to their inherent constraints of positivity and unit integral. To accommodate these constraints, we naturally use Bayes spaces methodology by mapping the densities using the centered log-ratio transformation into the L^2_0 (a, b) space where we can use FANOVA techniques. Many traditional contrasts in FANOVA rely on squared differences and can be reinterpreted as squared distances between Bayes perturbations within the densities space. We illustrate our methodology on a dataset comprising daily maximum temperatures across Vietnamese provinces between 1987 and 2016. Within the context of climate change, we first investigate the existence of a non-zero temporal trend of the densities of daily maximum temperature over Vietnam and then examine whether there is any regional effect on these trends. Finally, we explore odds ratio based interpretations allowing to describe the trends more locally
Functional ecological inference
In this paper, we consider the problem of ecological inference when one observes the conditional distributions of Y|W and Z|W from aggregate data and attempts to infer the conditional distribution of Y|Z without observing Y and Z in the same sample. First, we show that this problem can be transformed into a linear equation involving operators for which, under suitable regularity assumptions, least squares solutions are available. We then propose the use of the least squares solution with the minimum Hilbert–Schmidt norm, which, in our context, can be structurally interpreted as the solution with minimum dependence between Y and Z. Interestingly, in the case where the conditioning variable W is discrete and belongs to a finite set, such as the labels of units/groups/cities, the solution of this minimal dependence has a closed form. In the more general case, we use a regularization scheme and show the convergence of our proposed estimator. A numerical evaluation of our procedure is proposed
Mesure de communication forcée de pièces relevant du RGPD : les voies de recours sont ouvertes !
Note ss. soc., 9 avr. 2025, no 22-23.63