Buchumschlag

Detecting adverse high-order drug interactions from individual case safety reports using computational statistics on disproportionality measures

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Bangard, Jules, Holsbø, Einar, Svendsen, Kristian, Perduca, Vittorio, Birmelé, Etienne
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Applications Computation
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

A Comprehensive Framework for Evaluating Time to Event Predictions using the Restricted Mean Survival Time
von: Cwiling, Ariane, et al.
Veröffentlicht: (2023)

Causal mediation analysis in presence of multiple mediators uncausally related
von: Jerolon, Allan, et al.
Veröffentlicht: (2018)

A scalable Bayesian double machine learning framework for high dimensional causal estimation, with application to racial disproportionality assessment
von: Luo, Yu, et al.
Veröffentlicht: (2025)

A statistical perspective on higher-order interactions modeling
von: Matias, Catherine
Veröffentlicht: (2026)

Group lasso based selection for high-dimensional mediation analysis
von: Jérolon, Allan, et al.
Veröffentlicht: (2024)

Accounting for multiplicity in machine learning benchmark performance
von: Møllersen, Kajsa, et al.
Veröffentlicht: (2023)

Group Lasso Based Selection for High‐Dimensional Mediation Analysis
von: Allan Jérolon, et al.
Veröffentlicht: (2026)

Modeling climate extremes using the four-parameter kappa distribution for $r$-largest order statistics
von: Shin, Yire, et al.
Veröffentlicht: (2020)

Do machine learning methods lead to similar individualized treatment rules? A comparison study on real data
von: Bouvier, Florie, et al.
Veröffentlicht: (2023)

Generalized logistic model for $r$ largest order statistics, with hydrological application
von: Shin, Yire, et al.
Veröffentlicht: (2024)

Bootstrap Prediction and Confidence Bands for Frequency Response Functions in Posturography
von: Lippi, Vittorio
Veröffentlicht: (2025)

Bayesian sequential analysis of adverse events with binary data
von: Wang, Jiayue, et al.
Veröffentlicht: (2025)

Genetic and Environmental (Co)variation of Egg Size, Fecundity, and Growth Traits in Arctic Charr
von: Paul Vincent Debes, et al.
Veröffentlicht: (2025)

CSTEapp: An interactive R-Shiny application of the covariate-specific treatment effect curve for visualizing individualized treatment rule
von: Zhou, Yi, et al.
Veröffentlicht: (2025)

Distributional Reference Class Forecasting of Corporate Sales Growth With Multiple Reference Variables
von: Theising, Etienne
Veröffentlicht: (2024)

Enhancing the use of family planning service statistics using a Bayesian modelling approach to inform estimates of modern contraceptive use in low- and middle-income countries
von: Mooney, Shauna, et al.
Veröffentlicht: (2024)

A sub-hourly spatio-temporal statistical model for solar irradiance in Ireland using open-source data
von: Upton, Maeve, et al.
Veröffentlicht: (2025)

Machine Learning for the Production of Official Statistics: Density Ratio Estimation using Biased Transaction Data for Japanese labor statistics
von: Takada, Yuya, et al.
Veröffentlicht: (2025)

Extraction of tabulated statistical results with tableParser
von: Böschen, Ingmar
Veröffentlicht: (2026)

Singular-value statistics of directed random graphs
von: Mendez-Bermudez, J. A., et al.
Veröffentlicht: (2024)

Some statistical aspects of the Covid-19 response
von: Wood, Simon N., et al.
Veröffentlicht: (2024)

Sensitivity analysis for matching on high-dimensional predictors: A case study of racial disparity in US mortality
von: Hernandez, Marina, et al.
Veröffentlicht: (2024)

Collective risk models with FGM dependence
von: Blier-Wong, Christopher, et al.
Veröffentlicht: (2022)

Efficient evaluation of risk allocations
von: Blier-Wong, Christopher, et al.
Veröffentlicht: (2022)

A representation-learning approach for insurance pricing with images
von: Blier-Wong, Christopher, et al.
Veröffentlicht: (2023)

Jointly modeling time-to-event and longitudinal data with individual-specific change points: a case study in modeling tumor burden
von: Alt, Ethan M., et al.
Veröffentlicht: (2024)

Sales predictive analysis for improving supply chain drug sample
von: Téllez-Ballesteros, S. C., et al.
Veröffentlicht: (2025)

Improved order selection method for hidden Markov models: a case study with movement data
von: Dupont, Fanny, et al.
Veröffentlicht: (2024)

Agent modelling, statistical control, and the strength of middle knowledge
von: Chesney, Thomas, et al.
Veröffentlicht: (2024)

Enhancing the statistical evaluation of earthquake forecasts -- An application to Italy
von: Brehmer, Jonas R., et al.
Veröffentlicht: (2024)

Making high-order asymptotics practical: correcting goodness-of-fit test for astronomical count data
von: Li, Xiaoli, et al.
Veröffentlicht: (2025)

Introgression affects Salmo trutta juvenile life‐history traits generations after stocking with non‐native strains
von: Dorte Bekkevold, et al.
Veröffentlicht: (2024)

Forecasting intra-individual changes of affective states taking into account inter-individual differences using intensive longitudinal data from a university student drop out study in math
von: Kelava, Augustin, et al.
Veröffentlicht: (2021)

Computation of statistical power and sample size for in vivo research models
von: Al-Nashash, Hasan, et al.
Veröffentlicht: (2025)

Choosing Covariate Balancing Methods for Causal Inference: Practical Insights from a Simulation Study
von: Peyrot, Etienne, et al.
Veröffentlicht: (2024)

A survey of using EHR as real-world evidence for discovering and validating new drug indications
von: Talukdar, Nabasmita, et al.
Veröffentlicht: (2025)

A parsimonious tail compliant multiscale statistical model for aggregated rainfall
von: Ailliot, Pierre, et al.
Veröffentlicht: (2026)

Estimating individual contributions to team success in women's college volleyball
von: Powers, Scott, et al.
Veröffentlicht: (2024)

Simultaneous test of the mean vectors and covariance matrices for high-dimensional data using RMT
von: Niu, Zhenzhen, et al.
Veröffentlicht: (2024)

Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics
von: Bon, Joshua J., et al.
Veröffentlicht: (2022)