Some of my Publications
Books
Publications in Statistics
Publications in Other Fields
Books
Farcomeni, A. and Greco, L. (2015)
Robust
Methods for Data Reduction, Chapman & Hall/CRC Press
Bartolucci, F., Farcomeni, A. and Pennoni, F. (2013)
Latent Markov Models for Longitudinal Data,
Chapman & Hall/CRC Press
Publications in Statistics
2025
Farcomeni, A. Exact score and information matrix for panel hidden semi-Markov models, Statistics and Computing, 35, 55
Castiglione, C. and Arnone, E. and Bernardi, M. and Farcomeni, A. and Sangalli, L. PDE-regularised spatial quantile regression, Journal of Multivariate Analysis, 205, 105381
Sabbioni, E. and Agostinelli, C. and Farcomeni, A. A regularized MANOVA test for semicontinuous high-dimensional data, Biometrical Journal, 67, e70054 (with R package semicontMANOVA)
Alaimo di Loro, P. and Divino, F. and Farcomeni, A. and Jona Lasinio, G. and Lovison, G. and Maruotti, A. and Mingione, M. Contribution to the discussion of "Some statistical aspects of the COVID-19 response", Journal of the Royal Statistical Society (Series A), to appear
2024
Farcomeni, A. and Geraci, M. Quantile ratio regression, Statistics and Computing, 34, 94
Barone, R. and Farcomeni, A. and Mezzetti, M. Latent Markov time-interaction processes, Journal of Computational and Graphical Statistics, to appear (with Web Appendix and R code)
Russo, A. and Farcomeni, A. and Pittau, M. G. and Zelli, R. Covariate-modulated rectangular latent Markov models with an unknown number of regime profiles, Statistical Modeling, 24, 368-388 (with Web Appendix and R code)
Autiero, C. E. and Farcomeni, A. Robust portfolio optimisation under sparse contamination, Computational Economics, to appear
Russo, A. and Farcomeni, A. A Copula formulation for multivariate latent Markov models, TEST, 33, 731-751 (with Web Appendix)
Russo, A. and Farcomeni, A. and Geraci, M. Mid-quantile regression for discrete panel data, Journal of Statistical Computation and Simulation, 94, 2754-2771 (with Web Appendix)
Riani, M. and Atkinson, A. C. and Corbellini, A. and Farcomeni, A. and Laurini, F. Information Criteria for Outlier Detection Avoiding Arbitrary Significance Levels, Econometrics and Statistics, 29, 189-205
Bagnato, L. and Farcomeni, A. and Punzo, A. The generalized hyperbolic family and automatic model selection through the multiple-choice LASSO, Statistical Analysis and Data Mining, 17, 1, e11652
Farcomeni, A. and Maruotti, A. Estimating the number of attacks to civilians in Ukraine: a quantitative analysis from media sources, Peace Review, 36, 37-52
2023
Redivo, E. and Viroli, C. and Farcomeni, A. Quantile-distribution functions and their use for classification, with application to naive Bayes classifiers, Statistics and Computing, 33, 55
Farcomeni, A. A likelihood ratio test for completed sampling in population size estimation studies, Biometrical Journal, 65, 2200129 (with Code)
Altieri, L. and Farcomeni, A. and Alunni Fegatelli, D. Continuous time-interaction processes for population size estimation, with an application to drug dealing in Italy, Biometrics, 79, 1254-1267 (with Supplementary Material and Code)
2022
Pierfrancesco Alaimo Di Loro, Fabio Divino, Alessio Farcomeni, Giovanna Jona Lasinio, Gianfranco Lovison, Antonello Maruotti, and Marco Mingione Covid-19 in Italy: Modelling, communications, and collaborations, Significance, 19, 19-21
Bartolucci, F. and Farcomeni, A. A hidden Markov space-time model for mapping of the dynamics of global access to food, Journal of the Royal Statistical Society (Series A), 185, 246-266 (with Supplementary Material)
Farcomeni, A. How many refugees and migrants died trying to reach Europe? Joint population size and total estimation,
Annals of Applied Statistics, 16, 2339-2351 (with Supplementary Material)
Farcomeni, A. and Geraci, M. and Viroli, C. Directional Quantile Classifiers Journal of Computational and Graphical Statistics,
31, 907-916 (with Supplementary Material)
Geraci, M. and Farcomeni, A. Mid-quantile regression for discrete responses, Statistical Methods in Medical Research, 31, 821-838 (with Supplementary Material)
Mingione, M. and Alaimo Di Loro, P. and Farcomeni, A. and Divino, F. and Lovison, G. and Maruotti, A. and Jona Lasinio, G. Spatial modelling of COVID-19 incidence cases using Richards' curve: an application to the Italian regions, Spatial Statistics, 49, 100544
Bartolucci, F. and Farcomeni, A. A spatio-temporal model based on discrete latent variables for the analysis of COVID-19 incidence, Spatial Statistics, 49, 100504
Farcomeni, A. and Geraci, M. Contribution to "The First Discussion Meeting on Statistical aspects of the Covid-19 pandemic", Journal of the Royal Statistical Society (Series A), 185, 1829-1830
Di Mari, R. and Dotto, F. and Farcomeni, A. and Punzo, A. Assessing measurement invariance for longitudinal data through latent Markov models, Structural Equation Modeling, 29, 381-393
2021
Farcomeni, A. and Dotto, F. A correction to make Chao estimator conservative when the number of sampling occasions is finite, Statistics and Probability Letters, 176, 109154
Alaimo Di Loro, P., Divino, F., Farcomeni, A., Jona Lasinio, G., Lovison,
G., Maruotti, A., and Mingione, M. Nowcasting COVID-19 incidence indicators during the Italian first outbreak, Statistics in Medicine, 40, 3843-3864
Marra, G. and Farcomeni, A. and Radice, R. Link-based survival additive models under mixed censoring to assess risks of
hospital-acquired infections, Computational Statistics and Data Analysis, 155, 107092
Farcomeni, A. and Maruotti, A. and Divino, F. and Jona-Lasinio, G. and Lovison, G. An ensemble approach to short-term forecast of COVID-19 intensive care occupancy in Italian regions, Biometrical Journal, 63, 503-513
Farcomeni, A. and Ranalli, M. and Viviani, S. Dimension reduction for longitudinal multivariate data by optimizing class separation of projected latent Markov models, TEST, 30, 462-480
2020
Geraci, M. and Farcomeni, A. (2020) A family of linear mixed-effects models using the generalized Laplace distribution, Statistical Methods in Medical Research, 29, 2665-2682 (with Supplementary Material)
Geraci, M., Boghossian, N. S., Farcomeni, A. and Horbar, J. D. (2020) Quantile contours and allometric modelling for risk classification of abnormal ratios with an application to asymmetric growth-restriction in preterm infants, Statistical Methods in Medical Research, 29, 1769-1786
Farcomeni, A. (2020) Population size estimation with interval censored counts and external information: prevalence of multiple sclerosis in Rome, Biometrical Journal, 62, 945-956
Farcomeni, A. and Geraci, M. (2020) Multi-state quantile regression models, Statistics in Medicine, 39, 45-56 (with Supplementary Material)
Farcomeni, A. and Punzo, A. (2020) Robust model-based clustering with mild and gross outliers, TEST, 29, 989-1007 (with Web Appendix)
2019
Cerioli, A., Farcomeni, A. and Riani,
M. (2019) Wild adaptive trimming for
robust estimation and cluster analysis, Scandinavian Journal
of Statistics, 46, 235-256
(with Supplementary Material)
Dotto, F., Farcomeni, A., Pittau, M. G. and Zelli, R. (2019)
A dynamic inhomogeneous latent state model for measuring material
deprivation, Journal of the Royal Statistical Society (Series A), 182,
495-516
Dotto, F. and Farcomeni, A. (2019) Robust inference for parsimonious
model-based clustering Journal of Statistical Computation and Simulation, 89, 414-442
Bartolucci, F. and Farcomeni, A. (2019) A shared-parameter continuous-time hidden
Markov and survival model for longitudinal data
with informative drop-out, Statistics in Medicine, 38, 1056-1073
Anderson, G., Farcomeni, A., Pittau, M. G. and Zelli, R. (2019)
Rectangular latent Markov models for
time-specific clustering, with an analysis of the well being of nations, Journal of the Royal Statistical
Society (Series C), 68, 603-621
Anderson, G., Farcomeni, A., Pittau, M. G. and Zelli, R. (2019)
Multidimensional nation wellbeing, more equal yet more polarized: an analysis of the progress of human development since 1990, Journal of Economic Development, 44
2018
Dotto, F., Farcomeni, A., Garcia-Escudero, L.A. and Mayo-Iscar,
A. (2018) A Reweighting Approach to Robust
Clustering, Statistics and Computing, 28, 477-493
(with Supplementary Material)
Farcomeni, A. (2018) Fully general Chao and
Zelterman estimators with application to a Whale Shark
population, Journal of the Royal Statistical Society (Series
C), 67, 217-229 (with R code)
F. Dotto and A. Farcomeni (2018) A
generalized Chao estimator with measurement error and external
information, Environmental and Ecological Statistics, 25, 53-69
G. Barbati and A. Farcomeni (2018)
Prognostic assessment of repeatedly measured time-dependent
biomarkers, with application to dilated cardiomyopathy,
Statistical Methods & Applications, 27, 545-557 (with R package
longROC
on CRAN)
A. Farcomeni and F. Dotto (2018) The
power of (extended) monitoring in robust clustering,
Statistical Methods & Applications, 27, 651-660
2017
Bartolucci, F., Farcomeni, A. and Scaccia,
L. (2017) A nonparametric multidimensional
latent class IRT model in a Bayesian framework,
Psychometrika, 82, 952-978
Farcomeni, A. (2017) Penalized estimation
in latent Markov models, with application to monitoring serum
Calcium levels in end-stage kidney insufficiency,
Biometrical Journal, 59, 1035-1046 (with R code)
Dotto, F., Farcomeni, A., Garcia-Escudero, L.A. and Mayo-Iscar,
A. (2017) A fuzzy approach to robust regression
clustering, Advances in Data Analysis and Classification, 11, 691-710 (with supplementary material)
Farcomeni,
A. (2017) Contribution to the
discussion of the paper by Stefan Wellek: A biostatistician's
view on the current p-value controversy, Biometrical Journal, 59, 880-881
Lagani V., Athineou A., Farcomeni A., Tsagris M. and
Tsamardinos I. (2017) Feature selection with
the R package MXM: discovering statistically-equivalent feature
subsets, Journal of Statistical Software, 80
Farcomeni, A. (2017) Robust Double Clustering, Wiley StatsRef-Statistics Reference Online, art. 08020.
2016
Greco, L. and Farcomeni, A. (2016) A
plug-in approach to sparse and robust Principal Component
Analysis TEST, 25, 449-481
Farcomeni, A. (2016) A general
class of recapture models based on the conditional capture
probabilities, Biometrics, 72, 116-124
(with supplement
and R code)
Alunni Fegatelli, D. and
Farcomeni, A. (2016) On the design of closed
recapture experiments, Biometrical Journal, 58, 1273-1294
(with supplement
and R code)
Farcomeni, A. (2016) A MANOVA test for multivariate lognormal observations with a
spike at zero, with application to ecological niches of South
Africa, Biometrical Journal, 58, 320-330
Marco Geraci, Alessio Farcomeni
(2016) Probabilistic principal component
analysis to identify profiles of physical activity behaviours in
the presence of nonignorable missing data, Journal of the
Royal Statistical Society (Series C), 65, 51-75
Anderson, G.; Farcomeni, A.; Pittau, M. G. and Zelli, R. (2016)
A new approach to measuring and studying the
characteristics of class membership: Examining poverty,
inequality and polarization in urban China,
Journal of Econometrics, 191, 348-359
Pittau, M. G.; Farcomeni, A. and Zelli, R. (2016)
Has the attitude of US citizens towards
redistribution changed over time?,
Economic Modelling, 52, 714-724
2015
Farcomeni, A. (2015) Generalized linear
mixed models based on latent Markov heterogeneity
structures, Scandinavian Journal of Statistics, 42,
1127-1135
Bartolucci, F. and Farcomeni, A. (2015) A
discrete time event-history approach to informative drop-out in
mixed latent Markov models with covariates, Biometrics, 71,
80-89 (with supplement
and R code)
Farcomeni, A. and Viviani,
S. (2015) Longitudinal
quantile regression in presence of informative drop-out through
longitudinal-survival joint modeling, Statistics in Medicine,
34, 1199-1213
Francesco Bartolucci, Alessio Farcomeni (2015)
Information matrix for hidden Markov models
with covariates, Statistics and Computing, 25, 515-526
Francesco Bartolucci, Alessio Farcomeni, Silvia Pandolfi and Fulvia
Pennoni (2015)
LMest: an R package for latent Markov models for categorical
longitudinal data, arXiv:1501.04448
Farcomeni, A. (2015) Latent class
recapture models with flexible behavioural response,
Statistica, 1, 5-17
Marino, M. F. and Farcomeni,
A. (2015) Linear
quantile regression models for longitudinal experiments: an
overview, METRON, 73, 229-247
Farcomeni, A. and Greco, L.
(2015) S-estimation of hidden Markov
models, Computational Statistics, 30, 57-80
Farcomeni, A. (2015) Comments on:
Robust estimation of multivariate location and scatter in the
presence of cellwise and casewise contamination, TEST, 24, 467-470
Farcomeni, A., Marino, M.F. and Ranalli, M. (2015)
Discussion
on "Analysis of forensic DNA mixtures with artefacts" by Cowell, Graversen,
Lauritzen and Mortera,
Journal of the Royal Statistical Society (Series C), 64, 37
Farcomeni, A., Pareek, B. and Ghosh, P. (2015)
Discussion
on "Joint modeling of survival and longitudinal non-survival data"
by Gould et al., Statistics in Medicine, 34, 2198-2199
2014
Farcomeni, A. (2014) Snipping for robust
k-means clustering under component-wise contamination,
Statistics and Computing, 24, 909-917
(with R package snipEM, whose binaries are
here.)
Farcomeni, A. (2014) Robust constrained
clustering in presence of entry-wise outliers,
Technometrics, 56, 102-111 (with R package snipEM, whose binaries are
here.)
Francesco Bartolucci, Alessio Farcomeni, Fulvia Pennoni (2014)
Latent Markov models: a review of a general
framework for the analysis of longitudinal data with
covariates, TEST, 23, 433-465
(with discussion and rejoinder,
484-486)
Cerioli, A., Farcomeni, A., and Riani,
M. (2014) Strong consistency
and robustness of the Forward Search estimator of multivariate location and scatter,
Journal of Multivariate Analysis, 126, 167-183
Farcomeni, A. (2014) Discussion
on "Multiscale change point inference" by Frick, Munk and Sieling,
Journal of the Royal Statistical Society (Series B), 76, 546-547
2013
Farcomeni, A. and Scacciatelli,
D. (2013) Heterogeneity and behavioural
response in continuous time capture-recapture, with application to
street cannabis use in Italy,
Annals of Applied Statistics, 7, 2293-2314
(with supplementary material)
Farcomeni, A. and Finos, L. (2013)
FDR Control with Pseudo-Gatekeeping Based on a Possibly Data Driven Order of
the Hypotheses
, Biometrics, 69, 606-613
(with supplementary
material and R package someMTP,
available on CRAN)
Bartolucci, F., Farcomeni, A., Scaccia, L. (2013)
A nonparametric multidimensional latent
class IRT model in a Bayesian framework, SIS 2013 Statistical
Conference - Advances in Latent Variables
Bartolucci, F. and Farcomeni, A. (2013)
Causal inference in paired two-arm experimental
studies under non-compliance with application to prognosis of
myocardial infarction, Statistics in Medicine, 32, 4348-4366
Cerioli, A., Farcomeni, A. and Riani,
M. (2013) Robust distances for outlier free
goodness-of-fit testing, Computational
Statistics and Data Analysis, 65, 29-45
2012
Alessio Farcomeni and Luca Tardella (2012)
Identifiability and inferential issues in
capture-recapture experiments with heterogeneous detection probabilities
, Electronic Journal of Statistics, 6, 2602-2626
Alessio Farcomeni
(2012)
Generalized Augmentation
for Control of the k-Familywise Rate International Journal of
Statistics in Medical Research, 1, 113-119
A. Farcomeni, S. Arima (2012) A Bayesian autoregressive three-state hidden Markov model for
identifying switching monotonic regimes in Microarray time course
data Statistical Applications in Genetics and Molecular Biology,
11 (4), article 3
Bartolucci, F., Scaccia, L. and Farcomeni, A. (2012)
Bayesian inference through
encompassing priors and importance sampling for a class of marginal
models for categorical data,
Computational Statistics and Data Analysis, 56, 4067-4080
Farcomeni, A. and Ventura, L. (2012)
An overview of robust methods in medical research Statistical
Methods in Medical Research, 21, 111-133
Farcomeni, A. (2012)
Quantile Regression for longitudinal data
based on latent Markov subject-specific
parameters Statistics and Computing, 22, 141-152
(the routine described in appendix to compute sums on the log scale
is available in the
package snipEM, whose binaries are
here.)
Alessio Farcomeni (2012) Testing
supremacy or inferiority of multinomial cell probabilities with
application to biting preferences of loggerhead marine
turtles, Communications in Statistics - Theory and Methods,
41, 34-45
2011
Finos, L. and Farcomeni, A. (2011)
k-FWER control without
multiplicity correction, with application to detection of genetic determinants of multiple
sclerosis in Italian twins, Biometrics, 67, 174-181
(with supplementary
material and R package someKfwer,
available on CRAN)
Alessio Farcomeni (2011) Recapture
models under equality constraints for the
conditional capture probabilities, Biometrika, 98, 237-242
Alessio Farcomeni and Sara Viviani (2011)
Robust estimation for the Cox regression model
based on trimming Biometrical Journal, 53, 956-973
Farcomeni, A. and Pacillo, S. (2011) A
conservative estimator for the proportion of false nulls
based on Dvoretzky, Kiefer and Wolfowitz inequality Statistics &
Probability Letters, 81, 1867-1870
Farcomeni, A. (2011) Hidden Markov Partition
Models Statistics & Probability Letters, 81, 1766-1770
Bianca Di Lorenzo, Alessio Farcomeni, Natalia Golini (2011)
A Bayesian model for presence-only
semicontinuous data, with application to
prediction of abundance of Taxus Baccata in two Italian regions
Journal of Agricultural, Biological, and Environmental Statistics, 16,
339-356
Cerioli, A. and Farcomeni, A. (2011) Error
rates for multivariate outlier detection, Computational
Statistics and Data Analysis, 55, 544-553
Alfo, M. and Farcomeni, A. and Tardella, L. (2011)
A three component latent class model for robust semiparametric gene discovery Statistical Applications
in Genetics and Molecular Biology, 10, art. 7
Farcomeni, A. Nardi, A. and Fabrizi,
E. (2011)
Joint analysis of occurrence and time to
stability after entrance into the Italian labor
market: an approach based on a Bayesian cure
model with structured stochastic search
variable selection Journal of Applied Statistics,
38, 2627-2646
2010
Alessio Farcomeni, Silvia Pandolfi (2010)
Bayesian multivariate latent Markov models
with an unknown number of regimes, Atti della XLV Riunione
Scientifica della SIS, Societa' Italiana di Statistica.
Alessio Farcomeni (2010)
Bayesian Constrained Variable Selection, Statistica Sinica,
20, 1043-1062 (with supplementary material)
Farcomeni, A. and Tardella, L. (2010) Reference
Bayesian Methods for Alternative Recapture Models with
Heterogeneity, TEST, 19, 187-208
Francesco Bartolucci and Alessio Farcomeni (2010)
A Note on the Mixture Transition Distribution and
Hidden Markov Models Journal of Time Series Analysis, 31,
132-138
Alessio Farcomeni and Alessandra Nardi (2010)
A Two-Component Weibull Mixture to Model Early
and Late Mortality in a Bayesian Framework,
Computational Statistics & Data Analysis, 54, 416-428.
2009
Francesco Bartolucci and Alessio Farcomeni
(2009) A multivariate extension of the
dynamic logit model for longitudinal data based on a latent Markov
heterogeneity structure, Journal of the American Statistical
Association, 104, 816-831 (with Matlab code)
Farcomeni, A. (2009)
Robust Double Clustering, Journal of Classification, 26, 77-101
Alessio Farcomeni (2009) Generalized
Augmentation to control the False Discovery Exceedance in
Multiple Testing, Scandinavian Journal of Statistics,
36, 501-517
Sara Viviani, Alessio Farcomeni, Gian Luca Di Tanna, Anna Rita
Vestri (2009)
Validation of two disease-specific quality of
life questionnaires comparing a partial credit model and a latent
class model
,Biomedical Statistics and Clinical Epidemiology, 3, 79-84.
Alessio Farcomeni, Gian Luca di Tanna, Annarita Vestri, Sara Viviani
(2009)
A study on serum calcium and phosphate in
dialysis patients via a mixed effects latent
Markov model with two outcomes
Biomedical Statistics and Clinical Epidemiology, 3, 85-92.
Farcomeni, A. (2009)
An Exact Approach to Sparse Principal Component Analysis
Computational Statistics, 24, 583-604
Antonella Cuteri, Gabriella Cuteri and Alessio Farcomeni (2009)
Partnership dynamics for young American men:
a latent Markov approach,
Tech.Rep. 24 Department of Statistics, Sapienza - University of Rome
2008
Farcomeni, A. (2008)
A Review of Modern Multiple Hypothesis Testing, with particular attention to the false discovery proportion,
Statistical Methods in Medical Research, 17, 347-388
Bartolucci, F. and Farcomeni, A. (2008) A
transition model for multivariate categorical longitudinal
data In "Atti della XLIV Riunione Scientifica della SIS", Societa' Italiana di Statistica
Farcomeni, A. Nardi, A. and Fabrizi,
E. (2008) Bayesian cure-models with a
logistic reparameterization, with application to Italian labor
market analysis In "Atti della XLIV Riunione Scientifica della SIS", Societa' Italiana di Statistica
Farcomeni, A. (2008) Parametric assumptions in
single and multiple inference: when should we rely on them?
Biomedical Statistics and Clinical Epidemiology, 2(1): 57-69.
2007
Farcomeni, A. and Vichi, M. (2007)
Supervised and Unsupervised Model-Based Multi-Partitioning,
Tech. Rep. 13 Department of Statistics, University of Rome "La Sapienza"
Farcomeni, A. (2007) Some Results on the Control of the False Discovery Rate under Dependence,
Scandinavian Journal of Statistics, 34, 275-297
Alfo, M. and Farcomeni, A. and Tardella, L. (2007) Robust semiparametric mixing for detecting differentially
expressed genes in microarray experiments, Computational Statistics & Data Analysis, 51(11) pp: 5253-5265
Farcomeni, A. (2007)
Some Finite Sample Properties of Negatively Dependent Random Variables,
Probability Theory and Mathematical Statistics, 77, 145-153
2006
Farcomeni, A. (2006)
More Powerful Control of the False Discovery Rate under Dependence,
Statistical Methods & Applications, 15, 43-73
Farcomeni, A. and Tardella, L. (2006)
Bayesian Methods for Semiparametric Recapture Models.
In "Atti della XLIII Riunione Scientifica della SIS", Societa' Italiana di Statistica.
Farcomeni, A. (2006) Information Maximization in Sparse Principal Components Analysis: An
Exact Approach for Sparse and Interpretable Dimension Reduction,
Tech.Rep. 10 Department of Statistics, University of Rome "La Sapienza"
2002-2004
Farcomeni, A. (2004) Asymptotic control of the FDR under dependence. In "Atti della XLII
Riunione Scientifica della SIS", Societa' Italiana di Statistica. Web
reference: http://w3.uniroma1.it/sis/pagina.asp?num=3-11.
Farcomeni, A. (2004) Multiple Testing Procedures Under Dependence, With Applications,
Ph.D. Thesis, Dipartimento di Statistica, Probabilita' e statistiche
applicate, Universita' di Roma "La Sapienza", published by VDM
Verlag
Farcomeni, A. (2003) Unified Conditional Frequentist and Bayesian Testing: Computations in
Practice and Sample Size Determination, Metron - International Journal of Statistics, vol. LXII, 243-266
Publications in Other Fields
2025
Benedetto Longo, Martina Giacalone, Gennaro D'Orsi, Alessio Farcomeni, Elettra Gagliano, Lisa Vannucchi, Gianluca Vanni, Claudio Oreste Buonomo, Valerio Cervelli Immediate Hybrid Breast Reconstruction: Dual-plane approach using prepectoral implants and retro-pectoral fat grafting, Plastic and Reconstructive Surgery, to appear
Maria Silvia De Feo, Luca Filippi, Matteo Bauckneht, Elisa Lodi Rizzini, Cristina Ferrari, Valentina Lavelli, Andrea Marongiu, Gianmario Sambuceti, Claudia Battisti, Antonio Mura, Giuseppe Fornarini, Sara Elena Rebuzzi, Alessio Farcomeni, Alessandra Murabito, Susanna Nuvoli, Miriam Conte, Melissa Montebello, Renato Patrizio Costa, Arber Golemi, Manlio Mascia, Laura Travascio, Fabio Monari, Giuseppe Rubini, Angela Spanu, Giuseppe De Vincentis, Viviana Frantellizzi Large Italian Multicenter Study on Prognostic Value of Baselines Variables in mCRPC Patients Treated with 223RaCl2: Ten Years of Clinical Experience Diagnostics, Diagnostics, 15, 339
Lior Mevorach,Alessio Farcomeni,Giovanni Pellacani, Carmen Cantisani