A framework to analyse gender bias in epidemiological research

A framework to analyse gender bias in epidemiological research.

The design and analysis of research may cause systematic gender dependent errors to be produced in results because of gender insensitivity or androcentrism. Gender bias in research could be defined as a systematically erroneous gender dependent approach related to social construct, which incorrectly regards women and men as similar/different. Most gender bias can be found in the context of disc...

Research-agenda Bias: letters to the editor

Introduction to Competing Risk Model In the Epidemiological Research

Background and aims: Chronic kidney disease (CKD) is a public health challenge worldwide, with adverse consequences of kidney failure, cardiovascular disease (CVD), and premature death. Chronic kidney disease leads to the end stage of renal disease (ESRD), if late/not diagnosed. Competing risk modeling is a major issue in Epidemiology research. In Epidemiology study, sometimes inappropriate met...

A likelihood framework to analyse phyletic patterns.

Probabilistic evolutionary models revolutionized our capability to extract biological insights from sequence data. While these models accurately describe the stochastic processes of site-specific substitutions, single-base substitutions represent only a fraction of all the events that shape genomes. Specifically, in microbes, events in which entire genes are gained (e.g. via horizontal gene tra...

A Framework to Analyse Synchronous Data - Flow

Presence and absence of signals inside a reaction are inherent to the synchronous paradigm, as well as clocks which are sets of instants that indicate when a given condition is fulllled over a sequence of reactions (e.g. when a signal is present). Clocks are essential to capture the control in data-ow speciications; more generally relations between clocks should be analyzed to verify some prope...