Jacqueline Balensi, Jean-Yves Monchambert, Sylvie Müller-Celka éd., La céramique mycénienne de l’Égée au Levant. Hommage à Vronwy Hankey

Cet ouvrage publie les actes d’une table ronde tenue à Lyon (Maison de l’Orient) en 1999, en hommage à Vronwy Hankey, décédée en 1998. L’importance du rôle de V. Hankey dans l’étude des céramiques mycéniennes trouvées au Levant est rappelée par les éditeurs dans leur préface et par R. Merrillees dans une notice. La publication réunit dix communications rela-tives à la céramique mycénienne ou mycénisante du Levant  : problèmes d’origine, de style, de signification sociale ou commerciale. La lo..

Jacqueline Balensi, Jean-Yves Monchambert, Sylvie Müller-Celka éd., La céramique mycénienne de l’Égée au Levant. Hommage à Vronwy Hankey

Cet ouvrage publie les actes d’une table ronde tenue à Lyon (Maison de l’Orient) en 1999, en hommage à Vronwy Hankey, décédée en 1998. L’importance du rôle de V. Hankey dans l’étude des céramiques mycéniennes trouvées au Levant est rappelée par les éditeurs dans leur préface et par R. Merrillees dans une notice. La publication réunit dix communications rela-tives à la céramique mycénienne ou mycénisante du Levant  : problèmes d’origine, de style, de signification sociale ou commerciale. La lo..

Multinomial logistic model for coinfection diagnosis between arbovirus and malaria in Kedougou

In tropical regions, populations continue to suffer morbidity and mortality from malaria and arboviral diseases. In Kedougou (Senegal), these illnesses are all endemic due to the climate and its geographical position. The co-circulation of malaria parasites and arboviruses can explain the observation of coinfected cases. Indeed there is strong resemblance in symptoms between these diseases making problematic targeted medical care of coinfected cases. This is due to the fact that the origin of illness is not obviously known. Some cases could be immunized against one or the other of the pathogens, immunity typically acquired with factors like age and exposure as usual for endemic area. Then, coinfection needs to be better diagnosed. Using data collected from patients in Kedougou region, from 2009 to 2013, we adjusted a multinomial logistic model and selected relevant variables in explaining coinfection status. We observed specific sets of variables explaining each of the diseases exclusively and the coinfection. We tested the independence between arboviral and malaria infections and derived coinfection probabilities from the model fitting. In case of a coinfection probability greater than a threshold value to be calibrated on the data, duration of illness above 3 days and age above 10 years-old are mostly indicative of arboviral disease while body temperature higher than 40{\textdegree}C and presence of nausea or vomiting symptoms during the rainy season are mostly indicative of malaria disease

BIC selection procedures in mixed effects models

We consider the problem of variable selection in general nonlinear mixed-e ets models, including mixed-e ects hidden Markov models. These models are used extensively in the study of repeated measurements and longitudinal analysis. We propose a Bayesian Information Criterion (BIC) that is appropriate for nonstandard situations where both the number of subjects N and the number of measurements per subject n tend to in nity. In this case, the consistency rates of the maximum likelihood estimators (MLE) of the parameters depend on the level of variability designed in the model. We show that the MLE of the population parameters related to subject-speci c parameters are \sqrt(N)-consistent whereas the MLE of the parameters related to xed parameters are \sqrt(Nn)-consistent. We derive a BIC criterion with a penalty based on two terms proportional to log(N) and log(Nn). Finite-sample properties of the proposed selection procedure are investigated by simulation studies