2 citations · 6 across the 11 of their papers we have counts for
11 papers
A Bivariate Transformation Model for Time-to-Event Data Affected by Unobserved Confounding: Revisiting the Illinois Reemployment Bonus Experiment
Giampiero Marra, Rosalba Radice
Motivated by empirical studies investigating treatment effects in survival analysis, we propose a bivariate transformation model to quantify the impact of a binary treatment on a t…
Spline-Based Multi-State Models for Analyzing Disease Progression
Alessia Eletti, Giampiero Marra, Rosalba Radice
Motivated by disease progression-related studies, we propose an estimation method for fitting general non-homogeneous multi-state Markov models. The proposal can handle many types…
A Unifying Framework for Flexible Excess Hazard Modeling with Applications in Cancer Epidemiology
A. Eletti, G. Marra, M. Quaresma +2
Excess hazard modeling is one of the main tools in population-based cancer survival research. Indeed, this setting allows for direct modeling of the survival due to cancer even in…
Beyond unidimensional poverty analysis using distributional copula models for mixed ordered-continuous outcomes
Maike Hohberg, Francesco Donat, Giampiero Marra +1
Poverty is a multidimensional concept often comprising a monetary outcome and other welfare dimensions such as education, subjective well-being or health, that are measured on an o…
Modelling the Extremes of Seasonal Viruses and Hospital Congestion: The Example of Flu in a Swiss Hospital
Setareh Ranjbar, Eva Cantoni, Valérie Chavez-Demoulin +3
Viruses causing flu or milder coronavirus colds are often referred to as "seasonal viruses" as they tend to subside in warmer months. In other words, meteorological conditions tend…
Robust Fitting for Generalized Additive Models for Location, Scale and Shape
William H. Aeberhard, Eva Cantoni, Giampiero Marra +1
The validity of estimation and smoothing parameter selection for the wide class of generalized additive models for location, scale and shape (GAMLSS) relies on the correct specific…
Generalised Joint Regression for Count Data with a Focus on Modelling Football Matches
Hendrik van der Wurp, Andreas Groll, Thomas Kneib +2
We propose a versatile joint regression framework for count responses. The method is implemented in the R add-on package GJRM and allows for modelling linear and non-linear depende…
Penalised maximum likelihood estimation in multistate models for interval-censored data
Robson J. M. Machado, Ardo van den Hout, Giampiero Marra
Multistate models can be used to describe transitions over time across states. In the presence of interval-censored times for transitions, the likelihood is constructed using trans…
Copula based generalized additive models with non-random sample selection
M. Wojtyś, G. Marra
Non-random sample selection is a commonplace amongst many empirical studies and it appears when an output variable of interest is available only for a restricted non-random sub-sam…
Discrete Responses in Bivariate Generalized Additive Models
Francesco Donat, Giampiero Marra
A conceptual framework for the analysis of dichotomous and ordinal polychotomous responses within a penalized multivariate Generalized Linear Model is introduced. The proposed stru…
Bankruptcy Prediction of Small and Medium Enterprises Using a Flexible Binary Generalized Extreme Value Model
Raffaella Calabrese, Giampiero Marra, Silvia Angela Osmetti
We introduce a binary regression accounting-based model for bankruptcy prediction of small and medium enterprises (SMEs). The main advantage of the model lies in its predictive per…