Cover Image

A Milestone-Based Framework for Characterizing Time-Varying Treatment Effects in Immunotherapy Trials

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tai, Yi-Cheng, Wang, Weijing, Wolchok, Jedd D., Wells, Martin T.
Format:	Preprint
Published:	2026
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Estimand-based Inference in Presence of Long-Term Survivors
by: Tai, Yi-Cheng, et al.
Published: (2024)

A Randomization-Based Method for Evaluating Time-Varying Treatment Effects
by: Lee, Sangjin, et al.
Published: (2024)

Distal Causal Excursion Effects: Modeling Long-Term Effects of Time-Varying Treatments in Micro-Randomized Trials
by: Qian, Tianchen
Published: (2025)

A Statistical Framework for Understanding Causal Effects that Vary by Treatment Initiation Time in EHR-based Studies
by: Benz, Luke, et al.
Published: (2025)

Adaptive Orthogonalization for Stable Estimation of the Effects of Time-Varying Treatments
by: Li, Yige, et al.
Published: (2025)

Semiparametric Weighted Spline Regression (SWSR) in Confirmatory Clinical Trials with Time-Varying Placebo Effects
by: Zhan, Tianyu, et al.
Published: (2025)

Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments
by: Usami, Satoshi
Published: (2020)

From Estimands to Robust Inference of Treatment Effects in Platform Trials
by: Qian, Yuhan, et al.
Published: (2024)

A Design-Based Matching Framework for Staggered Adoption with Time-Varying Confounding
by: Kim, Suehyun, et al.
Published: (2025)

Doubly Robust Estimation of Treatment Effects in Staggered Difference-in-Differences with Time-Varying Covariates
by: Deng, Yuhao, et al.
Published: (2026)

Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
by: Shi, Jieru, et al.
Published: (2023)

Counterfactual Generative Models for Time-Varying Treatments
by: Wu, Shenghao, et al.
Published: (2023)

SEMMS with Random Effects: A Mixed-Model Extension for Variable Selection in Clustered and Longitudinal Data
by: Bar, Haim, et al.
Published: (2026)

Which Small-Sample Correction Should Be Used When Analyzing Stepped-Wedge Designs with Time-Varying Treatment Effects?
by: Ouyang, Yongdong, et al.
Published: (2026)

Estimation of Time-Varying Treatment Effects in a Joint Model for Longitudinal and Recurrent Event Outcomes in Mobile Health Data
by: Abbott, Madeline R, et al.
Published: (2026)

Wavelet Based Time Series Models with Time-Varying Thresholds
by: Davis, Rhea, et al.
Published: (2026)

Advancing Stepped Wedge Cluster Randomized Trials Analysis: Bayesian Hierarchical Penalized Spline Models for Immediate and Time-Varying Intervention Effects
by: Wu, Danni, et al.
Published: (2024)

Effect estimation in the presence of a misclassified binary mediator
by: Webb, Kimberly A. Hochstedler, et al.
Published: (2024)

Nonparametric Inference for Balance in Signed Networks
by: Chen, Xuyang, et al.
Published: (2024)

Modeling Time-Varying Effects of Mobile Health Interventions Using Longitudinal Functional Data from HeartSteps Micro-Randomized Trial
by: Yu, Jiaxin, et al.
Published: (2024)

Uncovering Treatment Effect Heterogeneity in Pragmatic Gerontology Trials
by: Li, Changjun, et al.
Published: (2025)

A Bayesian Optimal Phase II Design for Randomized Immunotherapy Trials with Delayed Treatment Effects
by: Cai, Zhongheng, et al.
Published: (2025)

A Unified Three-State Model Framework for Analysis of Treatment Crossover in Survival Trials
by: Zhao, Zile, et al.
Published: (2024)

Privacy-preserving Quantile Treatment Effect Estimation for Randomized Controlled Trials
by: Yao, Leon, et al.
Published: (2024)

Is There an AI Bubble? Robust Date-Stamping for Periods of Exuberance
by: Sarkar, Abir, et al.
Published: (2026)

Improving Treatment Effect Estimation in Trials through Adaptive Borrowing of External Controls
by: Yang, Qinwei, et al.
Published: (2026)

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

Time-Varying Causal Survival Learning
by: Meng, Xiang, et al.
Published: (2025)

Time-Varying Functional Cox Model
by: Du, Hongyu, et al.
Published: (2024)

Time-Varying Matrix Factor Models
by: Chen, Bin, et al.
Published: (2024)

Identifiability of Treatment Effects with Unobserved Spatially Varying Confounders
by: Tang, Tommy, et al.
Published: (2026)

A Liberating Framework from Truncation and Censoring, with Application to Learning Treatment Effects
by: Wang, Yuyao, et al.
Published: (2024)

Inference for Cumulative Incidences and Treatment Effects in Randomized Controlled Trials with Time-to-Event Outcomes under ICH E9 (R1)
by: Deng, Yuhao, et al.
Published: (2024)

Balanced Stochastic Block Model for Community Detection in Signed Networks
by: Chen, Yichao, et al.
Published: (2026)

Semiparametric Joint Modeling to Estimate the Treatment Effect on a Longitudinal Surrogate with Application to Chronic Kidney Disease Trials
by: Wang, Xuan, et al.
Published: (2024)

Selective Inference for Time-Varying Effect Moderation
by: Bakshi, Soham, et al.
Published: (2024)

Micro-randomized Trials with Categorical Treatments: Causal Effect Estimation and Sample Size Calculation
by: Lin, Jeremy, et al.
Published: (2025)

Using Recursive Partitioning to Find and Estimate Heterogenous Treatment Effects In Randomized Clinical Trials
by: Berk, Richard A., et al.
Published: (2018)

Incremental Causal Effect for Time to Treatment Initialization
by: Ying, Andrew, et al.
Published: (2024)

Quantifying Time-Varying Physical Activity Intervention Effects via Functional Regression
by: Pai, Nidhi, et al.
Published: (2026)