Cover Image

Subgroup analysis methods for time-to-event outcomes in heterogeneous randomized controlled trials

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Perrin, Valentine, Noiry, Nathan, Loiseau, Nicolas, Nowak, Alex
Format:	Preprint
Published:	2024
Subjects:	Methodology Applications Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Targeted learning of heterogeneous treatment effect curves for right censored or left truncated time-to-event data
by: Pryce, Matthew, et al.
Published: (2026)

Data reuse enables cost-efficient randomized trials of medical AI models
by: Nercessian, Michael, et al.
Published: (2025)

Robust inference for risk heterogeneity under group imbalance
by: Xu, Mengqi, et al.
Published: (2026)

Estimating treatment effects with competing intercurrent events in randomized controlled trials
by: Lu, Sizhu, et al.
Published: (2025)

Statistical Performance Guarantee for Subgroup Identification with Generic Machine Learning
by: Li, Michael Lingzhi, et al.
Published: (2023)

Doubly protected estimation for survival outcomes utilizing external controls for randomized clinical trials
by: Gao, Chenyin, et al.
Published: (2024)

FCPCA: Fuzzy clustering of high-dimensional time series based on common principal component analysis
by: Ma, Ziling, et al.
Published: (2025)

Targeted tuning of random forests for quantile estimation and prediction intervals
by: Berkowitz, Matthew, et al.
Published: (2025)

Doubly robust omnibus sensitivity analysis of externally controlled trials with intercurrent events
by: Gao, Chenyin, et al.
Published: (2025)

Improving randomized controlled trial analysis via data-adaptive borrowing
by: Gao, Chenyin, et al.
Published: (2023)

Doubly robust estimation of causal effects for random object outcomes with continuous treatments
by: Bhattacharjee, Satarupa, et al.
Published: (2025)

An empirical comparison of some outlier detection methods with longitudinal data
by: D'Orazio, Marcello
Published: (2025)

Bayesian Federated Inference for regression models based on non-shared multicenter data sets from heterogeneous populations
by: Jonker, Marianne A, et al.
Published: (2024)

Stability of clinical prediction models developed using statistical or machine learning methods
by: Riley, Richard D, et al.
Published: (2022)

Out-of-distribution robustness for multivariate analysis via causal regularisation
by: Durand, Homer, et al.
Published: (2024)

Nonparametric IPSS: Fast, flexible feature selection with false discovery control
by: Melikechi, Omar, et al.
Published: (2024)

PliableBVS: A flexible Bayesian variable selection method for modeling interactions with mandatory modifying variables
by: Asenso, Theophilus Quachie, et al.
Published: (2026)

Weighting methods for truncation by death in cluster-randomized trials
by: Isenberg, Dane, et al.
Published: (2024)

Using shrinkage methods to estimate treatment effects in overlapping subgroups in randomized clinical trials with a time-to-event endpoint
by: Wolbers, Marcel, et al.
Published: (2024)

Rank-based methods for estimating landmark win probability in longitudinal randomized controlled trials with missing data
by: Zou, Guangyong, et al.
Published: (2026)

Biarchetype analysis: simultaneous learning of observations and features based on extremes
by: Alcacer, Aleix, et al.
Published: (2023)

Sequential design of multi-fidelity computer experiments: maximizing the rate of stepwise uncertainty reduction
by: Stroh, Rémi, et al.
Published: (2020)

A Transfer Learning Causal Approach to Evaluate Racial/Ethnic and Geographic Variation in Outcomes Following Congenital Heart Surgery
by: Han, Larry, et al.
Published: (2024)

Temporal cross-validation impacts multivariate time series subsequence anomaly detection evaluation
by: Hespeler, Steven C., et al.
Published: (2025)

Multipopulation mortality modelling and forecasting: The multivariate functional principal component with time weightings approaches
by: Lam, Ka Kin, et al.
Published: (2021)

Combining Bayesian and Frequentist Inference for Laboratory-Specific Performance Guarantees in Copy Number Variation Detection
by: Talbot, Austin, et al.
Published: (2026)

LLM-based Agents for Automated Confounder Discovery and Subgroup Analysis in Causal Inference
by: Lee, Po-Han, et al.
Published: (2025)

Balancing events, not patients, maximizes power of the logrank test: and other insights on unequal randomization in survival trials
by: Yung, Godwin, et al.
Published: (2024)

Sensitivity analysis for contamination in egocentric-network randomized trials with interference
by: Weinstein, Bar, et al.
Published: (2026)

Evaluating causal effects on time-to-event outcomes in an RCT in Oncology with treatment discontinuation
by: Ballerini, Veronica, et al.
Published: (2023)

A tutorial on conducting sample size and power calculations for detecting treatment effect heterogeneity in cluster randomized trials with linear mixed models
by: Baumann, Mary Ryan, et al.
Published: (2025)

Subgroup comparisons within and across studies in meta-analysis
by: Panaro, Renato, et al.
Published: (2025)

Estimand framework and intercurrent events handling for clinical trials with time-to-event outcomes
by: Fang, Yixin, et al.
Published: (2025)

Forecasting time series with constraints
by: Doumèche, Nathan, et al.
Published: (2025)

Continuous monitoring of delayed outcomes in basket trials
by: Diniz, Marcio A., et al.
Published: (2026)

Dose optimization design accounting for unknown patient heterogeneity in cancer clinical trials
by: Silva, Rebecca B., et al.
Published: (2025)

Zero-inflation in the Multivariate Poisson Lognormal Family
by: Batardière, Bastien, et al.
Published: (2024)

Improved prediction of future user activity in online A/B testing
by: Masoero, Lorenzo, et al.
Published: (2024)

Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
by: Saxena, Manan, et al.
Published: (2024)

Testing Generalizability in Causal Inference
by: Manela, Daniel de Vassimon, et al.
Published: (2024)