Moderately elevated blood pressure during pregnancy and odds of hypertension later in life: the POUCHmoms longitudinal study

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/138364/1/bjo14556-sup-0010-ICMJE7.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/138364/2/bjo14556-sup-0007-ICMJE4.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/138364/3/bjo14556.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/138364/4/bjo14556-sup-0008-ICMJE5.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/138364/5/bjo14556-sup-0001-TableS1.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/138364/6/bjo14556-sup-0002-TableS2.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/138364/7/bjo14556-sup-0005-ICMJE2.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/138364/8/bjo14556-sup-0003-TableS3.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/138364/9/bjo14556-sup-0006-ICMJE3.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/138364/10/bjo14556-sup-0009-ICMJE6.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/138364/11/bjo14556_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/138364/12/bjo14556-sup-0004-ICMJE1.pd

Agroforesterie et services écosystémiques en zone tropicale

Respectueux de l’environnement et garantissant une sécurité alimentaire soutenue par la diversification des productions et des revenus qu’ils procurent, les systèmes agroforestiers apparaissent comme un modèle prometteur d’agriculture durable dans les pays du Sud les plus vulnérables aux changements globaux. Cependant, ces systèmes agroforestiers ne peuvent être optimisés qu’à condition de mieux comprendre et de mieux maîtriser les facteurs de leurs productions. L’ouvrage présente un ensemble de connaissances récentes sur les mécanismes biophysiques et socio-économiques qui sous-tendent le fonctionnement et la dynamique des systèmes agroforestiers. Il concerne, d’une part les systèmes agroforestiers à base de cultures pérennes, telles que cacaoyers et caféiers, de régions tropicales humides en Amérique du Sud, en Afrique de l’Est et du Centre, d’autre part les parcs arborés et arbustifs à base de cultures vivrières, principalement de céréales, de la région semi-aride subsaharienne d’Afrique de l’Ouest. Il synthétise les dernières avancées acquises grâce à plusieurs projets associant le Cirad, l’IRD et leurs partenaires du Sud qui ont été conduits entre 2012 et 2016 dans ces régions. L’ensemble de ces projets s’articulent autour des dynamiques des systèmes agroforestiers et des compromis entre les services de production et les autres services socio-écosystémiques que ces systèmes fournissent

Bayesian latent variable models for spatially correlated tooth-level binary data in caries research

Analysis of dental caries is traditionally based on aggregated scores, which are summaries of caries experience for each individual. A well-known example of such scores is the decayed, missing and filled teeth or tooth surfaces index introduced in the 1930s. Although these scores have improved our understanding of the pattern of dental caries, there are still some fundamental questions that remain unanswered. As an example, it is well believed among dentists that there are spatial symmetries in the mouth with respect to caries, but this has never been evaluated in a statistical sense. An answer to this question requires the analysis to be performed at subunits within the mouth, which necessitates the use of methods for correlated data. We propose a Bayesian generalized latent variable model coupled with an undirected graphical model to investigate the unique spatial distribution of tooth-level caries outcomes in the mouth. Data from the Signal Tandmobiel(®) study in Flanders, a dental longitudinal survey, are used to illustrate the methodology

Random effects regression models for count data with excess zeros in caries research

We extend the family of Poisson and negative binomial models to derive the joint distribution of clustered count outcomes with extra zeros. Two random effects models are formulated. The first model assumes a shared random effects term between the conditional probability of perfect zeros and the conditional mean of the imperfect state. The second formulation relaxes the shared random effects assumption by relating the conditional probability of perfect zeros and the conditional mean of the imperfect state to two different but correlated random effects variables. Under the conditional independence and the missing data at random assumption, a direct optimization of the marginal likelihood and an EM algorithm are proposed to fit the proposed models. Our proposed models are fitted to dental caries counts of children under the age of six in the city of Detroit.adaptive Gaussian quadrature, dental caries scores, clustered data, factor loadings, inflated zeros, negative binomial/Poisson distribution, random effects,