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20112021
most citedMixture latent autoregressive models for longitudinal data

2 citations · 4 across the 12 of their papers we have counts for

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8 papers · 1 filter

stat.ME2021

Conditioning on the pre-test versus gain score modeling: revisiting the controversy in a multilevel setting

Bruno Arpino, Silvia Bacci, Leonardo Grilli +2

We consider estimating the effect of a treatment on the progress of subjects tested both before and after treatment assignment. A vast literature compares the competing approaches…

stat.ME2016

Evaluation of student proficiency through a multidimensional finite mixture IRT model

Silvia Bacci, Francesco Bartolucci, Leonardo Grilli +1

In certain academic systems, a student can enroll for an exam immediately after the end of the teaching period or can postpone it to any later examination session, so that the grad…

stat.ME2014

A multidimensional latent class IRT model for non-ignorable missing responses

Silvia Bacci, Francesco Bartolucci

We propose a structural equation model, which reduces to a multidimensional latent class item response theory model, for the analysis of binary item responses with non-ignorable mi…

stat.ME2012

A causal analysis of mother's education on birth inequalities

Silvia Bacci, Francesco Bartolucci, Luca Pieroni

We propose a causal analysis of the mother's educational level on the health status of the newborn, in terms of gestational weeks and weight. The analysis is based on a finite mixt…

stat.ME2012

A comparison of some criteria for states selection in the latent Markov model for longitudinal data

Silvia Bacci, Silvia Pandolfi, Fulvia Pennoni

We compare different selection criteria to choose the number of latent states of a multivariate latent Markov model for longitudinal data. This model is based on an underlying Mark…

stat.ME2012

A multidimensional latent class Rasch model for the assessment of the Health-related Quality of Life

Silvia Bacci, Francesco Bartolucci

The work describes a multidimensional latent class Rasch model and its application to data about the measurement of some aspects of Health-related Quality of Life and Anxiety and D…