Saved in:
| Main Authors: | Chipman, Jonathan J., Sverdlov, Oleksandr, Uschner, Diane |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.07153 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LORDs: Locally Optimal Restricted Designs for Phase I/II Dose-Finding Studies
by: Sverdlov, Oleksandr, et al.
Published: (2025)
by: Sverdlov, Oleksandr, et al.
Published: (2025)
Incertus.jl -- The Julia Lego Blocks for Randomized Clinical Trial Designs
by: Ryeznik, Yevgen, et al.
Published: (2024)
by: Ryeznik, Yevgen, et al.
Published: (2024)
Randomization-based Inference for MCP-Mod
by: Pin, Lukas, et al.
Published: (2024)
by: Pin, Lukas, et al.
Published: (2024)
Estimands for Randomized Discontinuation Designs in Oncology
by: Mukherjee, Ayon, et al.
Published: (2025)
by: Mukherjee, Ayon, et al.
Published: (2025)
Inspection-Guided Randomization: A Flexible and Transparent Restricted Randomization Framework for Better Experimental Design
by: Wang, Maggie, et al.
Published: (2024)
by: Wang, Maggie, et al.
Published: (2024)
Type I Error Rates are Not Usually Inflated
by: Rubin, Mark
Published: (2023)
by: Rubin, Mark
Published: (2023)
Optimal Watermark Generation under Type I and Type II Errors
by: He, Hengzhi, et al.
Published: (2025)
by: He, Hengzhi, et al.
Published: (2025)
Testing Monotonicity in a Finite Population
by: Chen, Jiafeng, et al.
Published: (2025)
by: Chen, Jiafeng, et al.
Published: (2025)
MLCBART: Multilabel Classification with Bayesian Additive Regression Trees
by: Tian, Jiahao, et al.
Published: (2026)
by: Tian, Jiahao, et al.
Published: (2026)
Finite Population Inference for Factorial Designs and Panel Experiments with Imperfect Compliance
by: Picchetti, Pedro
Published: (2026)
by: Picchetti, Pedro
Published: (2026)
Enhanced Inference for Finite Population Sampling-Based Prevalence Estimation with Misclassification Errors
by: Ge, Lin, et al.
Published: (2023)
by: Ge, Lin, et al.
Published: (2023)
Optimising the Trade-Off Between Type I and Type II Errors: A Review and Extensions
by: Grieve, Andrew P
Published: (2024)
by: Grieve, Andrew P
Published: (2024)
Minimizing Type 2 Errors in an Experiment-Rich Regime via Optimal Resource Allocation
by: Yang, Fenghua, et al.
Published: (2026)
by: Yang, Fenghua, et al.
Published: (2026)
Markov-Restricted Analysis of Randomized Trials with Non-Monotone Missing Binary Outcomes
by: Lee, Jaron J. R., et al.
Published: (2021)
by: Lee, Jaron J. R., et al.
Published: (2021)
Random Effect Restricted Mean Survival Time Model
by: Hanada, Keisuke, et al.
Published: (2024)
by: Hanada, Keisuke, et al.
Published: (2024)
Restricted Spatial Regression is Reasonable Statistical Practice: Clarifications, Interpretations, and New Developments
by: Bradley, Jonathan R.
Published: (2024)
by: Bradley, Jonathan R.
Published: (2024)
When Sensitivity Bias Varies Across Subgroups: The Impact of Non-uniform Polarity in List Experiments
by: Hatz, Sophia, et al.
Published: (2024)
by: Hatz, Sophia, et al.
Published: (2024)
Graphical Finite Population Sampling
by: Panahbehagh, Bardia
Published: (2023)
by: Panahbehagh, Bardia
Published: (2023)
Acceptance or Rejection of Lots while Minimizing and Controlling Type I and Type II Errors
by: Ursini, Edson Luiz, et al.
Published: (2025)
by: Ursini, Edson Luiz, et al.
Published: (2025)
Finite Population Survey Sampling: An Unapologetic Bayesian Perspective
by: Banerjee, Sudipto
Published: (2023)
by: Banerjee, Sudipto
Published: (2023)
Adaptive Experimentation When You Can't Experiment
by: Zhao, Yao, et al.
Published: (2024)
by: Zhao, Yao, et al.
Published: (2024)
Component over Composite: Mitigating Type I Error Inflation when Imputing "Days Alive and at Home"
by: Tackney, Mia S., et al.
Published: (2026)
by: Tackney, Mia S., et al.
Published: (2026)
Constrained Gaussian Random Fields with Continuous Linear Boundary Restrictions for Physics-informed Modeling of States
by: Ma, Yue, et al.
Published: (2025)
by: Ma, Yue, et al.
Published: (2025)
Finite Population Identification and Design-Based Sensitivity Analysis
by: Kline, Brendan, et al.
Published: (2025)
by: Kline, Brendan, et al.
Published: (2025)
Beyond Fixed Restriction Time: Adaptive Restricted Mean Survival Time Methods in Clinical Trials
by: Sun, Jinghao, et al.
Published: (2025)
by: Sun, Jinghao, et al.
Published: (2025)
Agnostic Characterization of Interference in Randomized Experiments
by: Choi, David
Published: (2024)
by: Choi, David
Published: (2024)
Selective Randomization Inference for Adaptive Experiments
by: Freidling, Tobias, et al.
Published: (2024)
by: Freidling, Tobias, et al.
Published: (2024)
Note on the Delta Method for Finite Population Inference with Applications to Causal Inference
by: Pashley, Nicole E.
Published: (2019)
by: Pashley, Nicole E.
Published: (2019)
Randomization Tests in Switchback Experiments
by: Liu, Jizhou, et al.
Published: (2026)
by: Liu, Jizhou, et al.
Published: (2026)
When Does Interference Matter? Decision-Making in Platform Experiments
by: Johari, Ramesh, et al.
Published: (2024)
by: Johari, Ramesh, et al.
Published: (2024)
When exposure affects subgroup membership: Framing relevant causal questions in perinatal epidemiology and beyond
by: Gupta, Shalika, et al.
Published: (2024)
by: Gupta, Shalika, et al.
Published: (2024)
Analysis of Broken Randomized Experiments by Principal Stratification
by: Liu, Qinqing, et al.
Published: (2024)
by: Liu, Qinqing, et al.
Published: (2024)
Causal Inference in Randomized Trials with Partial Clustering
by: Nugent, Joshua, et al.
Published: (2024)
by: Nugent, Joshua, et al.
Published: (2024)
Revisiting Optimal Allocations for Binary Responses: Insights from Considering Type-I Error Rate Control
by: Pin, Lukas, et al.
Published: (2025)
by: Pin, Lukas, et al.
Published: (2025)
Fisher's Randomization Test for Causality with General Types of Treatments
by: Zhong, Zhen
Published: (2025)
by: Zhong, Zhen
Published: (2025)
Finite-Sample Valid Randomization Tests for Monotone Spillover Effects
by: Huang, Shunzhuang, et al.
Published: (2025)
by: Huang, Shunzhuang, et al.
Published: (2025)
Efficient Randomized Experiments Using Foundation Models
by: De Bartolomeis, Piersilvio, et al.
Published: (2025)
by: De Bartolomeis, Piersilvio, et al.
Published: (2025)
Gaussianized Design Optimization for Covariate Balance in Randomized Experiments
by: Guo, Wenxuan, et al.
Published: (2025)
by: Guo, Wenxuan, et al.
Published: (2025)
Randomization Inference in Two-Sided Market Experiments
by: Liu, Jizhou, et al.
Published: (2025)
by: Liu, Jizhou, et al.
Published: (2025)
Minimax-Regret Sample Selection in Randomized Experiments
by: Hu, Yuchen, et al.
Published: (2024)
by: Hu, Yuchen, et al.
Published: (2024)
Similar Items
-
LORDs: Locally Optimal Restricted Designs for Phase I/II Dose-Finding Studies
by: Sverdlov, Oleksandr, et al.
Published: (2025) -
Incertus.jl -- The Julia Lego Blocks for Randomized Clinical Trial Designs
by: Ryeznik, Yevgen, et al.
Published: (2024) -
Randomization-based Inference for MCP-Mod
by: Pin, Lukas, et al.
Published: (2024) -
Estimands for Randomized Discontinuation Designs in Oncology
by: Mukherjee, Ayon, et al.
Published: (2025) -
Inspection-Guided Randomization: A Flexible and Transparent Restricted Randomization Framework for Better Experimental Design
by: Wang, Maggie, et al.
Published: (2024)