A5041925574- Bayesian Modeling and Causal Inference
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Marine Biology and Ecology Research
- Multi-Criteria Decision Making
- Marine and fisheries research
- Advanced Statistical Methods and Models
- Bayesian Methods and Mixture Models
- Data Management and Algorithms
- Coral and Marine Ecosystems Studies
- Isotope Analysis in Ecology
- Lung Cancer Treatments and Mutations
- Statistical Distribution Estimation and Applications
- Marine and coastal plant biology
- Complex Network Analysis Techniques
- Gene expression and cancer classification
- Electoral Systems and Political Participation
- Salivary Gland Disorders and Functions
- Pregnancy and preeclampsia studies
- Statistics Education and Methodologies
- Computational Drug Discovery Methods
- Salivary Gland Tumors Diagnosis and Treatment
- Viral-associated cancers and disorders
- Parasite Biology and Host Interactions
- Liver Disease Diagnosis and Treatment
University of Florence
2009-2024
Azienda Ospedaliera S.Maria
2015-2022
Santa Maria Nuova Hospital
2021
University of Perugia
2017
Florence (Netherlands)
2015-2016
Chalmers University of Technology
2009-2014
University Medical Center of the Johannes Gutenberg University Mainz
2014
Johannes Gutenberg University Mainz
2014
Statistics Sweden
2009
Ospedale di Livorno
1995-1996
By Murray Logan. ISBN 978-1-4051-9008-4, 2010, 576 pp, paperback; price: £39.99, €48.00. Available from: Wiley Blackwell (www.wiley.com; E-mail: cs-books@wiley.co.uk). This book draws upon the popu...
Besides platinum-based chemotherapy, no established treatment option exists for advanced non-small-cell lung cancer (NSCLC) patients with EGFR exon 20 (Ex20ins) insertion mutations. We sought to determine the clinical outcome of this mutation subtype in immunotherapy era. Thirty NSCLCs Ex20ins mutations were identified, whom 15 had received immune checkpoint blockade (ICB) as monotherapy (N = 12), combination chemotherapy 2) or another immunotherapeutic agent 1). The response rate was...
We discuss a class of chain graph models for categorical variables defined by what we call multivariate regression Markov property. First, the set local independencies these is shown to be equivalent those model recently in literature. Next provide parametrization based on sequence generalized linear with logistic link function that captures all independence constraints any this kind.
To confirm the role of fetal growth restriction (FGR) as a cause stillbirth, and to compare diagnostic accuracy customized population-based standards in identifying FGR within pathological population early late stillbirths.Retrospective study on cohort 189 stillbirths occurred single pregnancy between January 2006 September 2011. Unexplained stillbirths, defined by Aberdeen-Wigglesworth ReCoDe classifications, were evaluated basis birthweight with both Tuscany Gardosi standards. have been...
Sexual selection is an intense evolutionary force, which operates through competition for the access to breeding resources. There are many cases where male copulatory success highly asymmetric, and few males able sire most females. Two main hypotheses were proposed explain this asymmetry: "female choice" "male dominance". The literature reports contrasting results. This variability may reflect actual differences among studied populations, but it also be generated by methodological...
Abstract. We discuss two parameterizations of models for marginal independencies discrete distributions which are representable by bi‐directed graph models, under the global Markov property. Such useful data analytic tools especially if used in combination with other graphical models. The first parameterization, saturated case, is also known as thenation multivariate logistic transformation, second a variant that allows, some (but not all) cases, variation‐independent parameters. An...
We introduce and study distributions of sets binary variables that are symmetric, is each has equally probable levels. The joint distribution these special types variables, if generated by a recursive process linear main effects essentially parametrized in terms marginal correlations. This contrasts with the log-linear formulation probabilities which parameters measure conditional associations given all remaining variables. new permits useful comparisons different graphical Markov models...
We describe some functions in the R package ggm to derive from a given Markov model, represented by directed acyclic graph, different types of graphs induced after marginalizing over and conditioning on variables. The has few basic that find essential concentration covariance graphs, several chain implied graph (DAG) grouping reordering These can be useful explore impact latent variables or selection effects chosen data generating model.
In this paper we provide a short tutorial illustrating the new functions in package ggm that deal with ancestral, summary and ribbonless graphs.These are mixed graphs (containing three types of edges) important because they capture modified independence structure after marginalisation over, conditioning on, nodes directed acyclic graphs.We to verify whether graph implies A is independent B given C for any disjoint sets generate maximal inducing same non-maximal graphs.Finally, decide on...
For a directed acyclic graph, there are two known criteria to decide whether any specific conditional independence statement is implied for all distributions factorized according the given graph. Both based on special types of path in graphs. They called separation because holds whenever conditioning set separating graph theoretical sense. We introduce and discuss an alternative approach using binary matrix representations graphs which zeros indicate statements. A condition shown give new...
The sandhopper Talitrus saltator is common on sandy beaches at different latitudes. Therefore, behavioural variations allowing them to cope with a wide range of environmental variation are expected. To test the hypothesis that adaptations natural environments characterised by salinities, we compared two behaviours (substrate choice and escape from immersion) T. populations Mediterranean (high salinity) Baltic Sea (low beach. preferred burrow in high salinity substrate, irrespective its beach...
Tetrad correlations were obtained historically for Gaussian distributions when tasks are designed to measure an ability or attitude so that a single unobserved variable may generate the observed, linearly increasing dependences among tasks. We connect such generating processes particular type of directed graph, star and notion traceable regressions. correlation conditions existence latent derived. These needed positive not only in joint but also binary distributions. Three applications with...