Imagen de Portada

Application of Markov Chains to Multiple Sclerosis Clinical Trial Data to Estimate Disease Trajectories

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Sthanu, Uma, PhD, Gary Cutter
Formato:	Preprint
Publicado:	2024
Materias:	Applications
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Regulatory Expectations for Bayesian Methods in Drug and Biologic Clinical Trials: A Practical Perspective on FDA's 2026 Draft Guidance
por: Ji, Yuan, et al.
Publicado: (2026)

A hierarchical modelling approach for Bayesian Causal Forests on longitudinal data: A Case Study in Multiple Sclerosis Clinical Trials
por: Prevot, Emma, et al.
Publicado: (2025)

Assessing the Role of Volumetric Brain Information in Multiple Sclerosis Progression
por: Shen, Andy A., et al.
Publicado: (2024)

Bayesian Spatial Point Process Modeling for Cluster Randomized Trials
por: Lee, Jooyeon, et al.
Publicado: (2025)

Hazard and Beyond: Exploring Five Distributional Representations of Accelerometry Data for Disability Discrimination in Multiple Sclerosis
por: Niyogi, Pratim Guha, et al.
Publicado: (2024)

Multiple Imputation for Small, Extremely High Efficacy Clinical Trials with Binary Endpoints
por: Tan, Yaoyuan Vincent, et al.
Publicado: (2025)

Estimating Disease-Free Life Expectancy based on Clinical Data from the French Hospital Discharge Database
por: Sorochynskyi, Oleksandr, et al.
Publicado: (2024)

Correcting for Missing Data When Evaluating Surrogate Markers in a Clinical Trial
por: Lotspeich, Sarah C., et al.
Publicado: (2026)

Adaptive Penalized Likelihood method for Markov Chains
por: Zhou, Yining, et al.
Publicado: (2024)

Exploring Commercial Vehicle Detouring Patterns through the Application of Probe Trajectory Data
por: PhD, Mark Franz, et al.
Publicado: (2024)

Analyzing Population-Level Trials as N-of-1 Trials: an Application to Gait
por: Zhou, Lin, et al.
Publicado: (2022)

Improving Bias Correction Methods for Daily Rainfall Using a Markov Chain Approach
por: Parsons, Danny, et al.
Publicado: (2026)

Sequential One-Sided Hypothesis Testing of Markov Chains
por: Fields, Greg, et al.
Publicado: (2025)

CUI-MET: Clinical Utility Index Dose Optimization Approach for Multiple-Dose, Multiple-Outcome Randomized Trial Designs
por: Zhang, Fanni, et al.
Publicado: (2025)

Comparing Methods of Expert Elicitation for Treatment Effect or Borrowing Parameters in Standard and Rare Disease Clinical Trials: A Systematic Mapping Study
por: Morgan, Laura M., et al.
Publicado: (2025)

A Survival Framework for Estimating Child Mortality Rates using Multiple Data Types
por: Paulson, Katherine R, et al.
Publicado: (2026)

Priors from Envisioned Posterior Judgments: A Novel Elicitation Approach With Application to Bayesian Clinical Trials
por: Ouyang, Yongdong, et al.
Publicado: (2024)

Toward Valid Generative Clinical Trial Data with Survival Endpoints
por: Chassat, Perrine, et al.
Publicado: (2025)

An Estimator-Robust Design for Augmenting Randomized Controlled Trial with External Real-World Data
por: Qiu, Sky, et al.
Publicado: (2025)

A Clustering Approach for Basket Trials Based on Treatment Response Trajectories
por: Kojima, Masahiro, et al.
Publicado: (2025)

Multiple Imputation of Hierarchical Nonlinear Time Series Data with an Application to School Enrollment Data
por: Liu, Daphne H., et al.
Publicado: (2024)

Hidden Markov Individual-level Models of Infectious Disease Transmission
por: Douwes-Schultz, Dirk, et al.
Publicado: (2026)

Digital N-of-1 Trials and their Application in Experimental Physiology
por: Konigorski, Stefan, et al.
Publicado: (2024)

Statistical Inference for Heterogeneous Treatment Effect with Right-censored Data from Synthesizing Randomized Clinical Trials and Real-world Data
por: Mao, Guangcai, et al.
Publicado: (2025)

The Role of Congeniality in Multiple Imputation for Doubly Robust Causal Estimation
por: McGowan, Lucy D'Agostino
Publicado: (2025)

Cost Effectiveness Analyses for Sequential Multiple Assignment Randomized Trials
por: Montoya, Lina M., et al.
Publicado: (2025)

Jointly Estimating Subnational Mortality for Multiple Populations
por: Dharamshi, Ameer, et al.
Publicado: (2023)

A Markov Chain Modeling Approach for Predicting Relative Risks of Spatial Clusters in Public Health
por: Iamrache, Lyza, et al.
Publicado: (2025)

Estimation of Heterogeneous Causal Mediation Effects in a Hypertension Treatment Trial
por: Zhao, Yi, et al.
Publicado: (2025)

Decentralized Clinical Trials in the Era of Real-World Evidence: A Statistical Perspective
por: Chen, Jie, et al.
Publicado: (2024)

On the Calibration of Bayesian Success Criteria and Operating Characteristics for Clinical Trials
por: Yang, Peng, et al.
Publicado: (2026)

A Causal Machine Learning Framework for Treatment Personalization in Clinical Trials: Application to Ulcerative Colitis
por: Minoccheri, Cristian, et al.
Publicado: (2026)

Use of Mobile Application for Improving Drug Compliance and Clinical Outcomes: A Randomized Controlled Trial
por: Pramod Kumar Mehta, et al.
Publicado: (2026)

[Invited Discussion] Randomization Tests to Address Disruptions in Clinical Trials: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions
por: Phillips, Rachael V., et al.
Publicado: (2024)

A Comprehensive Framework for Estimating Aircraft Fuel Consumption Based on Flight Trajectories
por: Zhang, Linfeng, et al.
Publicado: (2024)

Characterisation of Platelet Releasate Proteome in Relapsing‐Remitting Multiple Sclerosis Reveals Dysregulation of Inflammatory Signalling and Extracellular Vesicle Dynamics
por: Martin Parsons, et al.
Publicado: (2025)

A Finite Mixture Hidden Markov Model for Intermittently Observed Disease Process with Heterogeneity and Partially Known Disease Type
por: Shi, Yidan, et al.
Publicado: (2024)

A Blockwise Mixed Membership Model for Multivariate Longitudinal Data: Discovering Clinical Heterogeneity and Identifying Parkinson's Disease Subtypes
por: Kang, Kai, et al.
Publicado: (2024)

Generating Synthetic Functional Data for Privacy-Preserving GPS Trajectories
por: Burzacchi, Arianna, et al.
Publicado: (2024)

Improving the Estimation of Site-Specific Effects and their Distribution in Multisite Trials
por: Lee, JoonHo, et al.
Publicado: (2023)