Copertina

Optimizing dynamic predictions from joint models using super learning

Fuente: Wiley Open Access

Salvato in:

Dettagli Bibliografici
Autori principali:	Dimitris Rizopoulos, Jeremy M. G. Taylor
Natura:	Artículo Open Access
Pubblicazione:	Wiley 2024
Soggetti:	Statistics in Medicine
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Risk‐Profile Based Monitoring Intervals for Multivariate Longitudinal Biomarker Measurements and Competing Events With Applications in Stable Heart Failure
di: Teun B. Petersen, et al.
Pubblicazione: (2025)

A Joint Model for (Un)Bounded Longitudinal Markers, Competing Risks, and Recurrent Events Using Patient Registry Data
di: Pedro Miranda Afonso, et al.
Pubblicazione: (2025)

Sample size determination for prediction models via learning‐type curves
di: Alimu Dayimu, et al.
Pubblicazione: (2024)

A latent variable approach to jointly modeling longitudinal and cumulative event data using a weighted two‐stage method
di: Madeline R. Abbott, et al.
Pubblicazione: (2024)

A joint frailty model for recurrent and competing terminal events: Application to delirium in the ICU
di: Lacey H. Etzkorn, et al.
Pubblicazione: (2024)

Bridging the gap between two‐stage and joint models: The case of tumor growth inhibition and overall survival models
di: Danilo Alvares, et al.
Pubblicazione: (2024)

Calibration plots for multistate risk prediction models
di: Alexander Pate, et al.
Pubblicazione: (2024)

A novel block‐coordinate gradient descent algorithm for simultaneous grouped selection of fixed and random effects in joint modeling
di: Shuyan Chen, et al.
Pubblicazione: (2024)

Time‐varying dynamic Bayesian network learning for an fMRI study of emotion processing
di: Lizhe Sun, et al.
Pubblicazione: (2024)

A comparison of hyperparameter tuning procedures for clinical prediction models: A simulation study
di: Zoë S. Dunias, et al.
Pubblicazione: (2024)

Calibrating machine learning approaches for probability estimation: A short expansion
di: Francisco M. Ojeda, et al.
Pubblicazione: (2024)

Addressing the implementation challenge of risk prediction model due to missing risk factors: The submodel approximation approach
di: Tianyi Sun, et al.
Pubblicazione: (2024)

Statistical methods for predicting e‐cigarette use events based on beat‐to‐beat interval (BBI) data collected from wearable devices
di: James J. Yang, et al.
Pubblicazione: (2024)

A modeling framework for the analysis of the SARS‐CoV2 transmission dynamics
di: Anastasia Chatzilena, et al.
Pubblicazione: (2024)

Enhancing long‐term survival prediction with two short‐term events: Landmarking with a flexible varying coefficient model
di: Wen Li, et al.
Pubblicazione: (2024)

Validation of predicted individual treatment effects in out of sample respondents
di: Alena Kuhlemeier, et al.
Pubblicazione: (2024)

Flexible parametrization of graph‐theoretical features from individual‐specific networks for prediction
di: Mariella Gregorich, et al.
Pubblicazione: (2024)

Robust analysis of stepped wedge trials using composite likelihood models
di: Emily C. Voldal, et al.
Pubblicazione: (2024)

Data fusion for predicting long‐term program impacts
di: Michael W. Robbins, et al.
Pubblicazione: (2024)

Optimal ensemble construction for multistudy prediction with applications to mortality estimation
di: Gabriel Loewinger, et al.
Pubblicazione: (2024)

Effective sample size: A measure of individual uncertainty in predictions
di: Doranne Thomassen, et al.
Pubblicazione: (2024)

Improved mortality analysis in early‐phase dose‐ranging clinical trials for emergency medical diseases using Bayesian time‐to‐event models with active comparators
di: Xiaosong Shi, et al.
Pubblicazione: (2024)

Two‐stage stratified designs with survival outcomes and adjustment for misclassification in predictive biomarkers
di: Yanping Chen, et al.
Pubblicazione: (2024)

Approximate maximum likelihood estimation in cure models using aggregated data, with application to HPV vaccine completion
di: John D. Rice, et al.
Pubblicazione: (2024)

Mediation analysis using incomplete information from publicly available data sources
di: Andriy Derkach, et al.
Pubblicazione: (2024)

Integrative deep learning with prior assisted feature selection
di: Feifei Wang, et al.
Pubblicazione: (2024)

Optimal subsampling for semi‐parametric accelerated failure time models with massive survival data using a rank‐based approach
di: Zehan Yang, et al.
Pubblicazione: (2024)

Understanding an impact of patient enrollment pattern on predictability of central (unstratified) randomization in a multi‐center clinical trial
di: Johannes Krisam, et al.
Pubblicazione: (2024)

Parameter estimation and forecasting with quantified uncertainty for ordinary differential equation models using QuantDiffForecast: A MATLAB toolbox and tutorial
di: Gerardo Chowell, et al.
Pubblicazione: (2024)

Assurance methods for designing a clinical trial with a delayed treatment effect
di: James A. Salsbury, et al.
Pubblicazione: (2024)

Targeted learning in observational studies with multi‐valued treatments: An evaluation of antipsychotic drug treatment safety
di: Jason Poulos, et al.
Pubblicazione: (2024)

Flexible cost‐penalized Bayesian model selection: Developing inclusion paths with an application to diagnosis of heart disease
di: Erica M. Porter, et al.
Pubblicazione: (2024)

A Personalized Predictive Model That Jointly Optimizes Discrimination and Calibration
di: Tatiana Krikella, et al.
Pubblicazione: (2025)

Statistical considerations in model‐based dose finding for binary responses under model uncertainty
di: Zhiwu Yan, et al.
Pubblicazione: (2024)

A Bayesian non‐stationary heteroskedastic time series model for multivariate critical care data
di: Zayd Omar, et al.
Pubblicazione: (2024)

Optimal model averaging for partially linear models with missing response variables and error‐prone covariates
di: Zhongqi Liang, et al.
Pubblicazione: (2024)

A Biomarker‐Based Dose–Schedule Optimization Design for Immunotherapy Trials
di: Yingjie Qiu, et al.
Pubblicazione: (2026)

Optimizing Medical Guidelines: Insights Using a Generalized Method of Moments Approach
di: Vidhura S. Tennekoon
Pubblicazione: (2026)

Bayesian mixture modelling with ranked set samples
di: Amirhossein Alvandi, et al.
Pubblicazione: (2024)

Transportability of model‐based estimands in evidence synthesis
di: Antonio Remiro‐Azócar
Pubblicazione: (2024)