A flexible parametric approach to synthetic patients generation using health data
Fuente:
arXiv
Saved in:
| Main Authors: | Cipriani, Marta, Di Rocco, Lorenzo, Puopolo, Maria, Alfò, Marco |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dynamic Prediction in Mixture Cure Models: A Model-Based Landmarking Approach
by: Cipriani, Marta, et al.
Published: (2025)
by: Cipriani, Marta, et al.
Published: (2025)
A multiple imputation approach to distinguish curative from life-prolonging effects in the presence of missing covariates
by: Cipriani, Marta, et al.
Published: (2024)
by: Cipriani, Marta, et al.
Published: (2024)
Omitted covariates bias and finite mixtures of regression models for longitudinal responses
by: Alfo', Marco, et al.
Published: (2026)
by: Alfo', Marco, et al.
Published: (2026)
lqmix: an R package for longitudinal data analysis via linear quantile mixtures
by: Alfó, Marco, et al.
Published: (2023)
by: Alfó, Marco, et al.
Published: (2023)
A Dynamic Latent Space Model for Healthcare Mobility Networks: the Italian National Health Service case
by: Manente, Cecilia, et al.
Published: (2026)
by: Manente, Cecilia, et al.
Published: (2026)
Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and limitations
by: Shen, Yueyang, et al.
Published: (2024)
by: Shen, Yueyang, et al.
Published: (2024)
Methods for generating and evaluating synthetic longitudinal patient data: a systematic review
by: Perkonoja, Katariina, et al.
Published: (2023)
by: Perkonoja, Katariina, et al.
Published: (2023)
A geometric approach in non-parametric Changepoint detection in circular data
by: Biswas, Surojit, et al.
Published: (2024)
by: Biswas, Surojit, et al.
Published: (2024)
A robust regression approach to synthetic control with interference
by: He, Peiyu, et al.
Published: (2024)
by: He, Peiyu, et al.
Published: (2024)
A flexible approach to sequential prediction under intervention
by: Sperrin, Matthew, et al.
Published: (2026)
by: Sperrin, Matthew, et al.
Published: (2026)
A non-parametric estimator for Archimedean copulas under flexible censoring scenarios and an application to claims reserving
by: Michaelides, Marie, et al.
Published: (2024)
by: Michaelides, Marie, et al.
Published: (2024)
Nonparametric estimation of conditional probability distributions using a generative approach based on conditional push-forward neural networks
by: Franco, Nicola Rares, et al.
Published: (2025)
by: Franco, Nicola Rares, et al.
Published: (2025)
Statistical parametric simulation studies based on real data
by: Sauer, Christina, et al.
Published: (2025)
by: Sauer, Christina, et al.
Published: (2025)
On inference in parametric survival data models
by: Hjort, Nils Lid
Published: (2026)
by: Hjort, Nils Lid
Published: (2026)
Ordinal regression for meta-analysis of test accuracy: a flexible approach for utilising all threshold data
by: Cerullo, Enzo, et al.
Published: (2025)
by: Cerullo, Enzo, et al.
Published: (2025)
Generation and analysis of synthetic data via Bayesian networks: a robust approach for uncertainty quantification via Bayesian paradigm
by: Martins, Larissa N. A., et al.
Published: (2024)
by: Martins, Larissa N. A., et al.
Published: (2024)
A non-parametric U-statistic testing approach for multi-arm clinical trials with multivariate longitudinal data
by: Ghosh, Dhrubajyoti, et al.
Published: (2024)
by: Ghosh, Dhrubajyoti, et al.
Published: (2024)
A novel approach to generate distributions
by: Dutta, Subhankar, et al.
Published: (2025)
by: Dutta, Subhankar, et al.
Published: (2025)
Estimating treatment effects with a unified semi-parametric difference-in-differences approach
by: Thome, Julia C., et al.
Published: (2025)
by: Thome, Julia C., et al.
Published: (2025)
Bayesian model criticism using uniform parametrization checks
by: Covington, Christian T., et al.
Published: (2025)
by: Covington, Christian T., et al.
Published: (2025)
Energy load forecasting using Terna public data: a free lunch multi-task combination approach
by: Girolimetto, Daniele, et al.
Published: (2025)
by: Girolimetto, Daniele, et al.
Published: (2025)
A flexible wrapped Lindley-type distribution for angular data modelling
by: Ferreira, Johan, et al.
Published: (2026)
by: Ferreira, Johan, et al.
Published: (2026)
Estimating lengths-of-stay of hospitalised COVID-19 patients using a non-parametric model: a case study in Galicia (Spain)
by: López-Cheda, Ana, et al.
Published: (2024)
by: López-Cheda, Ana, et al.
Published: (2024)
A Bayesian approach to uncover local and temporal determinants of heterogeneity in repeated cross-sectional health surveys
by: Stival, Mattia, et al.
Published: (2024)
by: Stival, Mattia, et al.
Published: (2024)
A general approach to fitting multistate cure models based on an extended-long-format data structure
by: Jiang, Yilin, et al.
Published: (2024)
by: Jiang, Yilin, et al.
Published: (2024)
Estimating spatially varying health effects of wildland fire smoke using mobile health data
by: Wu, Lili, et al.
Published: (2020)
by: Wu, Lili, et al.
Published: (2020)
A flexible class of latent variable models for the analysis of antibody response data
by: Giorgi, Emanuele, et al.
Published: (2025)
by: Giorgi, Emanuele, et al.
Published: (2025)
A flexible and interpretable spatial covariance model for data on graphs
by: Christensen, Michael F., et al.
Published: (2022)
by: Christensen, Michael F., et al.
Published: (2022)
A Bayesian model-free dose-finding approach in Phase II clinical trials with the flexibility of historical borrowing
by: Han, Linxi, et al.
Published: (2025)
by: Han, Linxi, et al.
Published: (2025)
New flexible versions of extended generalized Pareto model for count data
by: Ahmad, Touqeer, et al.
Published: (2024)
by: Ahmad, Touqeer, et al.
Published: (2024)
Causal mediation analysis for longitudinal and survival data in continuous time using Bayesian non-parametric joint models
by: Bhandari, Saurabh, et al.
Published: (2025)
by: Bhandari, Saurabh, et al.
Published: (2025)
Semi-parametric bulk and tail regression using spline-based neural networks
by: Majumder, Reetam, et al.
Published: (2025)
by: Majumder, Reetam, et al.
Published: (2025)
A non-parametric approach for estimating the correlation between log-rank test statistics with applications to a conjunctive power calculation
by: Soerensen, Anne Lyngholm, et al.
Published: (2026)
by: Soerensen, Anne Lyngholm, et al.
Published: (2026)
A flexible empirical Bayes approach to multiple linear regression and connections with penalized regression
by: Kim, Youngseok, et al.
Published: (2022)
by: Kim, Youngseok, et al.
Published: (2022)
Communicating complex statistical models to a public health audience: translating science into action with the FARSI approach
by: Stival, Mattia, et al.
Published: (2025)
by: Stival, Mattia, et al.
Published: (2025)
A Bayesian semi-parametric approach to causal mediation for longitudinal mediators and time-to-event outcomes with application to a cardiovascular disease cohort study
by: Bhandari, Saurabh, et al.
Published: (2024)
by: Bhandari, Saurabh, et al.
Published: (2024)
Forecasting Italian daily electricity generation disaggregated by geographical zones and energy sources using coherent forecast combination
by: Girolimetto, Daniele, et al.
Published: (2025)
by: Girolimetto, Daniele, et al.
Published: (2025)
A generative approach to frame-level multi-competitor races
by: Stokes, Tyrel, et al.
Published: (2023)
by: Stokes, Tyrel, et al.
Published: (2023)
Developing a Synthetic Socio-Economic Index through Autoencoders: Evidence from Florence's Suburban Areas
by: Grossi, Giulio, et al.
Published: (2025)
by: Grossi, Giulio, et al.
Published: (2025)
Locally parametric nonparametric density estimation
by: Hjort, Nils Lid, et al.
Published: (2026)
by: Hjort, Nils Lid, et al.
Published: (2026)
Similar Items
-
Dynamic Prediction in Mixture Cure Models: A Model-Based Landmarking Approach
by: Cipriani, Marta, et al.
Published: (2025) -
A multiple imputation approach to distinguish curative from life-prolonging effects in the presence of missing covariates
by: Cipriani, Marta, et al.
Published: (2024) -
Omitted covariates bias and finite mixtures of regression models for longitudinal responses
by: Alfo', Marco, et al.
Published: (2026) -
lqmix: an R package for longitudinal data analysis via linear quantile mixtures
by: Alfó, Marco, et al.
Published: (2023) -
A Dynamic Latent Space Model for Healthcare Mobility Networks: the Italian National Health Service case
by: Manente, Cecilia, et al.
Published: (2026)