:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Jeppesen, Mathias Lerbech, Højbjerre-Frandsen, Emilie
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2510.13347
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Tutorial on Improving RCT Power Using Prognostic Score Adjustment for Linear Models
by: Emilie Højbjerre‐Frandsen, et al.
Published: (2025)

“Within‐Trial” Prognostic Score Adjustment Is Targeted Maximum Likelihood Estimation
by: Emilie Højbjerre‐Frandsen, et al.
Published: (2026)

"Within-trial" prognostic score adjustment is targeted maximum likelihood estimation
by: Højbjerre-Frandsen, Emilie, et al.
Published: (2025)

A Non-Parametric Sensitivity Analysis for Bounding Bias in Hybrid Control Trials
by: Gordon, Alissa, et al.
Published: (2025)

Powering RCTs for marginal effects with GLMs using prognostic score adjustment
by: Højbjerre-Frandsen, Emilie, et al.
Published: (2025)

sparsegl: An R Package for Estimating Sparse Group Lasso
by: Liang, Xiaoxuan, et al.
Published: (2022)

Joint Estimation of Marginal and Heterogeneous Treatment Effects
by: Wuethrich, Leticia, et al.
Published: (2026)

Impact of Non-Informative Censoring on Propensity Score Based Estimation of Marginal Hazard Ratios
by: Barros, Guilherme W. F., et al.
Published: (2024)

Structured Bayesian Regression Tree Models for Estimating Distributed Lag Effects: The R Package dlmtree
by: Im, Seongwon, et al.
Published: (2025)

Marginal Causal Effect Estimation with Continuous Instrumental Variables
by: Dong, Mei, et al.
Published: (2025)

SCoRES: An R Package for Simultaneous Confidence Region Estimates
by: Yu, Zhuoran, et al.
Published: (2025)

BEND: An R Package for the Bayesian Estimation of Nonlinear Longitudinal Data
by: Rohloff, Corissa T., et al.
Published: (2026)

Estimating Dynamic Marginal Policy Effects under Sequential Unconfoundedness
by: Lai, I-han, et al.
Published: (2026)

Automatic Variance Adjustment for Small Area Estimation
by: Wakefield, Jon, et al.
Published: (2026)

Bayesian Prognostic Covariate Adjustment With Additive Mixture Priors
by: Vanderbeek, Alyssa M., et al.
Published: (2023)

Optimal Adjustment Sets for Nonparametric Estimation of Weighted Controlled Direct Effect
by: Lin, Ruiyang, et al.
Published: (2025)

Improving Variance Estimation for Covariate Adjustment with Binary Outcomes
by: Lee, Kaitlyn, et al.
Published: (2026)

Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials
by: Oka, Tatsushi, et al.
Published: (2024)

Prognostic Covariate Adjustment for Logistic Regression in Randomized Controlled Trials
by: Li, Yunfan, et al.
Published: (2024)

Covariate Adjustment Cannot Hurt: Treatment Effect Estimation under Interference with Low-Order Outcome Interactions
by: Wang, Xinyi, et al.
Published: (2025)

Marginal Interventional Effects
by: Zhou, Xiang, et al.
Published: (2022)

Optimal Integrative Estimation for Distributed Precision Matrices with Heterogeneity Adjustment
by: Sun, Yinrui, et al.
Published: (2024)

A Practical Guide to Estimating Conditional Marginal Effects: Modern Approaches
by: Liu, Jiehan, et al.
Published: (2025)

Bayesian Model Selection with Latent Group-Based Effects and Variances with the R Package slgf
by: Metzger, Thomas A., et al.
Published: (2024)

BRcal: An R Package to Boldness-Recalibrate Probability Predictions
by: Guthrie, Adeline P., et al.
Published: (2024)

dynamite: An R Package for Dynamic Multivariate Panel Models
by: Tikka, Santtu, et al.
Published: (2023)

Choosing the Right Approach at the Right Time: A Comparative Analysis of Causal Effect Estimation using Confounder Adjustment and Instrumental Variables
by: Zawadzki, Roy S., et al.
Published: (2023)

Survival Data Simulation With the R Package rsurv
by: Demarqui, Fábio N.
Published: (2024)

Automatic Order, Bandwidth Selection and Flaws of Eigen Adjustment in HAC Estimation
by: Li, Zhuoxun, et al.
Published: (2025)

Negative Control Outcome Adjustment in Early-Phase Randomized Trials: Estimating Vaccine Effects on Immune Responses in HIV Exposed Uninfected Infants
by: Ashby, Ethan, et al.
Published: (2024)

Propensity Score Augmentation in Matching-based Estimation of Causal Effects
by: Ulloa-Pérez, Ernesto, et al.
Published: (2024)

The RobinCar Family: R Tools for Robust Covariate Adjustment in Randomized Clinical Trials
by: Bannick, Marlena, et al.
Published: (2026)

npcure: An R Package for Nonparametric Inference in Mixture Cure Models
by: López-Cheda, Ana, et al.
Published: (2024)

Comparing Propensity Score-Based Methods in Estimating the Treatment Effects: A Simulation Study
by: Poletto, Sara, et al.
Published: (2024)

ipd: An R Package for Conducting Inference on Predicted Data
by: Salerno, Stephen, et al.
Published: (2024)

Estimating the Joint Distribution of Two Binary Variables with Marginal Statistics
by: Shang, Longwen, et al.
Published: (2025)

Estimate Level Adjustment For Inference With Proxies Under Random Distribution Shifts
by: Wilkins-Reeves, Steven, et al.
Published: (2026)

Marginal Effects for Probit and Tobit with Endogeneity
by: Evdokimov, Kirill S., et al.
Published: (2023)

Deconfounding Scores and Representation Learning for Causal Effect Estimation with Weak Overlap
by: Clivio, Oscar, et al.
Published: (2026)

Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments
by: Branson, Zach, et al.
Published: (2023)