A Bayesian analysis for pseudo-compositional data with spatial structure.

We proposed a Bayesian analysis of pseudo-compositional data in presence of a latent factor, assuming a spatial structure. This development was motivated by a dataset containing information on the number of newborns of primiparous mothers living in each of the microregions of the state of Sao Paulo, Brazil, in the year of 2015, stratified by the age of the mothers (15-18, 19-29 and 30 years or more). Considering that data on newborns are not stochastically distributed among the three age groups, but they are explained in relation to women's population structure, we adopted the expression "pseudo-compositional data" to refer to this data structure.

Effect of body position on preterm newborns receiving continuous positive airway pressure.

Aim: To evaluate the effect of body position on the cardiorespiratory indicators of preterm newborns receiving nasal continuous positive airway pressure (CPAP).

Methods: Analytical, observational, prospective, cross-sectional, randomised crossover study was carried out on sixteen newborns that received nasal CPAP. The infants had a mean gestational age of 29.