Bloodstream Infection of a Cancer Patient by Cystobasidium minutum: A Case Report and Literature Review

Mycopathologia - Emergent fungal infections are uncommon conditions which frequently lead to death. To our knowledge, only a few cases of invasive infection by...     

A new species of the sharpshooter genus Onega Distant, 1908 (Hemiptera: Cicadellidae: Cicadellini) from Ecuador and Peru

Onega comprises nine valid species distributed in South American countries, Bolivia, Colombia, Ecuador, Paraguay and Peru, commonly at high altitudes. The genus has as diagnostic characteristics the transition crown-frons with transversal carina; crown and superior portion of frons with concavities; pronotum wider than transocular width of head; and paraphysis, when present, as a median esclerite. The present paper describes Onega musa sp. nov., from Ecuador and Peru, which can be distinguished from other Onega species by: body mostly yellow, with brown maculae distributed on dorsum; posterior margin of male pygofer serrate, with long microsetae on the basiventral margin; aedeagus with shaft bisinuate with dorsal acute preapical process; female sternite VII with posterior margin slightly convex; and first valvula of ovipositor with 38 noncontiguous teeth. Intraspecific morphological variations are discussed.     

An approach to model clustered survival data with dependent censoring

In this study we introduce a likelihood-based method, via the Weibull and piecewise exponential distributions, capable of accommodating the dependence between failure and censoring times. The methodology is developed for the analysis of clustered survival data and it assumes that failure and censoring times are mutually independent conditional on a latent frailty. The dependent censoring mechanism is accounted through the frailty effect and this is accomplished by means of a key parameter accommodating the correlation between failure and censored observations. The full specification of the likelihood in our work simplifies the inference procedures with respect to Huang and Wolfe since it reduces the computation burden of working with the profile likelihood. In addition, the assumptions made for the baseline distributions lead to models with continuous survival functions. In order to carry out inferences, we devise a Monte Carlo EM algorithm. The performance of the proposed models is investigated through a simulation study. Finally, we explore a real application involving patients from the Dialysis Outcomes and Practice Patterns Study observed between 1996 and 2015.