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Longitudinal latent overall toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models. (2024). Spreafico, Marta ; Ieva, Francesca ; Fiocco, Marta.
In: Statistical Methods & Applications.
RePEc:spr:stmapp:v:33:y:2024:i:5:d:10.1007_s10260-024-00767-9.

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Cocites

Documents in RePEc which have cited the same bibliography

  1. Longitudinal latent overall toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models. (2024). Spreafico, Marta ; Ieva, Francesca ; Fiocco, Marta.
    In: Statistical Methods & Applications.
    RePEc:spr:stmapp:v:33:y:2024:i:5:d:10.1007_s10260-024-00767-9.

    Full description at Econpapers || Download paper

  2. A causal hidden Markov model for assessing effects of multiple direct mail campaigns. (2023). Pennoni, Fulvia ; Bartolucci, Francesco ; Paas, Leonard J.
    In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
    RePEc:spr:testjl:v:32:y:2023:i:4:d:10.1007_s11749-023-00877-8.

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  3. Markov models for duration-dependent transitions: selecting the states using duration values or duration intervals?. (2022). Carette, Philippe ; Guerry, Marie-Anne.
    In: Statistical Methods & Applications.
    RePEc:spr:stmapp:v:31:y:2022:i:5:d:10.1007_s10260-022-00637-2.

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  4. Model-based two-way clustering of second-level units in ordinal multilevel latent Markov models. (2022). Marino, Maria Francesca ; Doretti, Marco ; Montanari, Giorgio Eduardo.
    In: Advances in Data Analysis and Classification.
    RePEc:spr:advdac:v:16:y:2022:i:2:d:10.1007_s11634-021-00446-7.

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  5. A Mixture Hidden Markov Model to Mine Students’ University Curricula. (2022). Bacci, Silvia ; Bertaccini, Bruno.
    In: Data.
    RePEc:gam:jdataj:v:7:y:2022:i:2:p:25-:d:754381.

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  6. Modelling clusters of corporate defaults: Regime‐switching models significantly reduce the contagion source. (2022). Drage Berentsen, Geir ; Bulla, Jan ; Stove, Brd ; Maruotti, Antonello.
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  7. A bivariate finite mixture growth model with selection. (2021). Pandolfi, Silvia ; Bartolucci, Francesco ; Aristei, David ; Bacci, Silvia.
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  8. Testing the Within-State Distribution in Mixture Models for Responses and Response Times. (2021). Kuijpers, Renske E ; Visser, Ingmar ; Molenaar, Dylan.
    In: Journal of Educational and Behavioral Statistics.
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  9. The Italian market of sparkling wines: Latent variable models for brand positioning, customer loyalty, and transitions across brands preferences. (2020). Pennoni, Fulvia ; Rossetto, Luca ; Bassi, Francesca.
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  10. Analysing the course of public trust via hidden Markov models: a focus on the Polish society. (2020). Pennoni, Fulvia ; Genge, Ewa.
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  11. Ranking Nursing Homes’ Performances Through a Latent Markov Model with Fixed and Random Effects. (2019). Doretti, Marco ; Montanari, Giorgio E.
    In: Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement.
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  12. Evaluation of long-term health care services through a latent Markov model with covariates. (2018). Pandolfi, Silvia ; Montanari, Giorgio E.
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  13. Response Mixture Modeling: Accounting for Heterogeneity in Item Characteristics across Response Times. (2018). Boeck, Paul ; Molenaar, Dylan.
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  14. The Efficacy of Common Fit Indices for Enumerating Classes in Growth Mixture Models When Nested Data Structure Is Ignored. (2017). Luo, Wen ; Glaman, Ryan ; Chen, QI ; Palardy, Gregory J ; McEnturff, Amber.
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  15. A multilevel latent Markov model for the evaluation of nursing homes performance. (2017). Bartolucci, Francesco ; Doretti, Marco ; Montanari, Giorgio E.
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  18. Causal Latent Markov Model for the Comparison of Multiple Treatments in Observational Longitudinal Studies. (2016). Vittadini, Giorgio ; Pennoni, Fulvia ; Bartolucci, Francesco.
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  19. Conflict and Computation on Wikipedia: A Finite-State Machine Analysis of Editor Interactions. (2016). Dedeo, Simon.
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  20. Latent profile analysis with nonnormal mixtures: A Monte Carlo examination of model selection using fit indices. (2016). Hodge, Kari J ; Morgan, Grant B ; Baggett, Aaron R.
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  21. Handling non-ignorable dropouts in longitudinal data: a conditional model based on a latent Markov heterogeneity structure. (2015). Maruotti, Antonello.
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  22. Causal latent Markov model for the comparison of multiple treatments in observational longitudinal studies. (2015). Vittadini, Giorgio ; Pennoni, Fulvia ; Bartolucci, Francesco.
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  23. Comments on: Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates. (2014). Paas, Leonard .
    In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
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  24. Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates. (2014). Pennoni, Fulvia ; Farcomeni, Alessio ; Bartolucci, Francesco.
    In: TEST: An Official Journal of the Spanish Society of Statistics and Operations Research.
    RePEc:spr:testjl:v:23:y:2014:i:3:p:433-465.

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