:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Sachs, Michael C., Gabriel, Erin E., Evans, Robin J., Sjölander, Arvid
Format:	Preprint
Published:	2026
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2601.11242
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The impact of coarsening an exposure on partial identifiability in instrumental variable settings
by: Gabriel, Erin E., et al.
Published: (2024)

Adding covariates to bounds: What is the question?
by: Jonzon, Gustav, et al.
Published: (2025)

Nonparametric Bounds for Evaluating the Clinical Utility of Treatment Rules
by: Hruza, Johannes, et al.
Published: (2025)

Estimation of the Number Needed to Treat, the Number Needed to be Exposed, and the Exposure Impact Number with Instrumental Variables
by: Vancak, Valentin, et al.
Published: (2023)

Definition, Identification, and Estimation of the Direct and Indirect Number Needed to Treat
by: Vancak, Valentin, et al.
Published: (2025)

Propensity weighting plus adjustment in proportional hazards model is not doubly robust
by: Gabriel, Erin E, et al.
Published: (2023)

On the limitations for causal inference in Cox models with time-varying treatment
by: Knudsen, Mark B., et al.
Published: (2025)

Evaluation of clinical utility in emulated clinical trials
by: Hruza, Johannes, et al.
Published: (2025)

Bounds for causal mediation effects
by: Breum, Marie S., et al.
Published: (2025)

Outcome-Informed Weighting for Robust ATE Estimation
by: Yang, Linying, et al.
Published: (2025)

Stable Blanket with Hidden Variables and Cycles
by: Xiang, Hanqing
Published: (2026)

Data fusion for efficiency gain in ATE estimation: A practical review with simulations
by: Lin, Xi, et al.
Published: (2024)

Quasi Instrumental Variable Methods for Stable Hidden Confounding and Binary Outcome
by: Liu, Zhonghua, et al.
Published: (2025)

Data Fusion with Distributional Equivalence Test-then-pool
by: Yang, Linying, et al.
Published: (2026)

Frugal, Flexible, Faithful: Causal Data Simulation via Frengression
by: Yang, Linying, et al.
Published: (2025)

A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment
by: Hu, Robert, et al.
Published: (2021)

Nonparametric efficient estimation of the longitudinal front-door functional
by: Breum, Marie S., et al.
Published: (2025)

Bayesian Non-Homogeneous Hidden Markov Model with Variable Selection for Investigating Drivers of Seizure Risk Cycling
by: Wang, Emily T., et al.
Published: (2022)

Exact Simulation of Longitudinal Data from Marginal Structural Models
by: Lin, Xi, et al.
Published: (2025)

Combining experimental and observational data through a power likelihood
by: Lin, Xi, et al.
Published: (2023)

Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies
by: Jeong, Hyunchai, et al.
Published: (2024)

G-HIVE: Parameter Estimation and Approximate Inference for Multivariate Response Generalized Linear Models with Hidden Variables
by: Lee, Inbeom, et al.
Published: (2025)

Bayesian Hierarchical Modelling of Noisy Gamma Processes: Model Formulation, Identifiability, Model Fitting, and Extensions to Unit-to-Unit Variability
by: Leadbetter, Ryan, et al.
Published: (2024)

An Instrumental Variable Estimator for Mixed Indicators: Analytic Derivatives and Alternative Parameterizations
by: Fisher, Zachary F., et al.
Published: (2019)

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

Hidden Markov Models for Multivariate Panel Data
by: Neal, Mackenzie R., et al.
Published: (2024)

A Latent Variable Model with Change-Points and Its Application to Time Pressure Effects in Educational Assessment
by: Wallin, Gabriel, et al.
Published: (2024)

The Multiplicative Instrumental Variable Model
by: Liu, Jiewen, et al.
Published: (2025)

On Data Analysis Pipelines and Modular Bayesian Modeling
by: Lipman, Erin, et al.
Published: (2024)

The Multiplicative Quasi-Instrumental Variable Model
by: Liu, Jiewen, et al.
Published: (2026)

Optimal Sampling for Generalized Linear Model under Measurement Constraint with Surrogate Variables
by: Shen, Yixin, et al.
Published: (2025)

Marginal Causal Flows for Validation and Inference
by: Manela, Daniel de Vassimon, et al.
Published: (2024)

Average Causal Effect Estimation in DAGs with Hidden Variables: Beyond Back-Door and Front-Door Criteria
by: Guo, Anna, et al.
Published: (2024)

Determine the Number of States in Hidden Markov Models via Marginal Likelihood
by: Chen, Yang, et al.
Published: (2024)

Discussion of "Matrix Completion When Missing Is Not at Random and Its Applications in Causal Panel Data Models"
by: Ben-Michael, Eli, et al.
Published: (2026)

BVSIMC: Bayesian Variable Selection-Guided Inductive Matrix Completion for Improved and Interpretable Drug Discovery
by: Fan, Sijian, et al.
Published: (2026)

Multiple change-point detection for some point processes
by: Dion-Blanc, C., et al.
Published: (2023)

Validity of Complete Case Analysis Depends on the Target Population
by: Webster-Clark, Michael, et al.
Published: (2024)

StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables
by: Morin, Sacha, et al.
Published: (2023)

Hidden Markov Individual-level Models of Infectious Disease Transmission
by: Douwes-Schultz, Dirk, et al.
Published: (2026)