Davide Luciani
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View article: The Use of Image and Performance Enhancing Drugs During the Covid-19 Lockdown: a Cross-Cultural Study on Potential Users and Associated Risks
The Use of Image and Performance Enhancing Drugs During the Covid-19 Lockdown: a Cross-Cultural Study on Potential Users and Associated Risks Open
Introduction: Image and performance-enhancing drugs (IPEDs), or lifestyle drugs, are a wide range of products presented as having the potential to improve mental and physical function and health. Little is known about IPEDs consumption dur…
View article: Causal Graph Aided Causal Discovery in an Observational Aneurysmal Subarachnoid Hemorrhage Study
Causal Graph Aided Causal Discovery in an Observational Aneurysmal Subarachnoid Hemorrhage Study Open
Causal inference methods for observational data are increasingly recognized as a valuable complement to randomized clinical trials (RCTs). They can, under strong assumptions, emulate RCTs or help refine their focus. Our approach to causal …
View article: Defining the Human-Biota Thresholds of Toxicological Concern for Organic Chemicals in Freshwater: The Proposed Strategy of the LIFE VERMEER Project Using VEGA Tools
Defining the Human-Biota Thresholds of Toxicological Concern for Organic Chemicals in Freshwater: The Proposed Strategy of the LIFE VERMEER Project Using VEGA Tools Open
Several tons of chemicals are released every year into the environment and it is essential to assess the risk of adverse effects on human health and ecosystems. Risk assessment is expensive and time-consuming and only partial information i…
View article: Statistical Guidelines for Handling Missing Data in Traumatic Brain Injury Clinical Research
Statistical Guidelines for Handling Missing Data in Traumatic Brain Injury Clinical Research Open
Missing data is a persistent and unavoidable problem in even the most carefully designed traumatic brain injury (TBI) clinical research. Missing data patterns may result from participant dropout, non-compliance, technical issues, or even d…
View article: Generalized Beta Regression to Elicit Conditional Distributions of Medical Variables
Generalized Beta Regression to Elicit Conditional Distributions of Medical Variables Open
Univariate conditional models are of core importance in supporting medical reasoning, as they allow to decompose a joint probability distribution using the chain rule. Although several methods are available for the elicitation of the joint…
View article: A probabilistic network for the diagnosis of acute cardiopulmonary diseases
A probabilistic network for the diagnosis of acute cardiopulmonary diseases Open
In this paper, the development of a probabilistic network for the diagnosis of acute cardiopulmonary diseases is presented in detail. A panel of expert physicians collaborated to specify the qualitative part , which is a directed acyclic g…
View article: A Generalization of the Noisy-MAX Parameterization for Biomedical Applications
A Generalization of the Noisy-MAX Parameterization for Biomedical Applications Open
The development of Bayesian networks for biomedical applications is often difficult because the number of parameters defining each conditional probability
\ntable grows exponentially with the increase in the number of parent variables. The…