Technical Reports

Francesco Bartolucci

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Technical Reports

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1. Minelli, L., Pigini, C., Chiavarini, M. & Bartolucci, F. (2014), Employment status and perceived health condition: longitudinal data from Italy,

2. Bartolucci, F., Montanari, G. E. and Pandolfi, S. (2014), Three-step estimation of latent Markov models with covariates,

3. Bartolucci, F., Nigro, V. and Pgini, C. (2013), Testing for state dependence in binary panel data with individual covariates,

4. Cagnone, S. and Bartolucci, F. (2013): Adaptive quadrature for likelihood inference on dynamic latent variable models for time-series and panel data,

5. Bartolucci, F. and Farcomeni, A. (2013), A discrete time event-history approach to informative drop-out in multivariate latent Markov models with covariates,

6. Bacci, S. and Bartolucci, F. (2013), A multidimensional latent class IRT model for non-ignorable missing responses,

7. Gnaldi, M., Bartolucci, F. and Bacci, S. (2012), Joint Assessment of the Differential Item Functioning and Latent Trait Dimensionality of Students' National Tests,

8. Bartolucci, F. and Farcomeni, A. (2012), Causal inference in paired two-arm experimental studies under non-compliance with application to prognosis of myocardial infarction,

9. Bartolucci, F., Bacci, S.and Gnaldi, M. (2012), MultiLCIRT: An R package for multidimensional latent class item response models,

10. Bartoucci, F., Montanari, G. E. and Pandolfi, S. (2012), Item Selection by an Extended Latent Class Model: An Application to Nursing Homes Evaluation,

11. Bacci, S., Bartoucci, F. and Pieroni, L. (2012), A Causal Analysis of Motherís Education on Birth Inequalities,,,

12. Bartolucci, F., Bellio, R., Salvan, A. and Sartori, N. (2012), Modified Profile Likelihood for Panel Data Models,

13. Bacci, S., Bartolucci, F. and Gnaldi, M. (2012), A class of Multidimensional Latent Class IRT models for ordinal polytomous item responses,

14. Bartolucci, F., Farcomeni, A. and Pennoni, F. (2012), "Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates," MPRA Paper 39023

15. Bartolucci, F., Bacci, S., and Pennoni, F. (2011), Mixture latent autoregressive models for longitudinal data, http://arXiv:1108.1498v1

16. Bartolucci, F. and Pandolfi, S. (2010), Bayesian inference for a class of latent Markov models for categorical longitudinal data,

17. Bartolucci, F., d'Agostino, G. and Montanari, G. E. (2010), An investigation of the discriminant power and dimensionality of items used for assessing health condition of elderly people,

18. Pandolfi, S., Bartolucci, F. and Friel, N. (2010), A generalized Multiple-try Metropolis version of the Reversible Jump algorithm,

19. Bartolucci, F., Farcomeni, A. and Pennoni, F. (2010), An overview of latent Markov models for longitudinal categorical data,