Cover Image

lmw: Linear Model Weights for Causal Inference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chattopadhyay, Ambarish, Greifer, Noah, Zubizarreta, Jose R.
Format:	Preprint
Published:	2023
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Notes on Causation, Comparison, and Regression
by: Chattopadhyay, Ambarish, et al.
Published: (2023)

Design-based inference for generalized network experiments with stochastic interventions
by: Chattopadhyay, Ambarish, et al.
Published: (2023)

Understanding Spatial Regression Models from a Weighting Perspective in an Observational Study of Superfund Remediation
by: Woodward, Sophie M., et al.
Published: (2025)

An Anatomy of Event Studies: Hypothetical Experiments, Exact Decomposition, and Weighting Diagnostics
by: Shen, Zhu, et al.
Published: (2024)

Forest Kernel Balancing Weights: Outcome-Guided Features for Causal Inference
by: Shen, Andy A., et al.
Published: (2025)

What is Overlap Weighting, How Has it Evolved, and When to Use It for Causal Inference?
by: Lu, Haidong, et al.
Published: (2026)

Causal Inference Using Augmented Epidemic Models
by: Bong, Heejong, et al.
Published: (2024)

Causal Inference for Circular Data
by: Wu, Kuan-Hsun
Published: (2025)

Estimation and Inference for Causal Explainability
by: Zhang, Weihan, et al.
Published: (2025)

Variational Inference for Fully Bayesian Hierarchical Linear Models
by: Parra-Aldana, Cristian, et al.
Published: (2025)

Mendelian Randomization Methods for Causal Inference: Estimands, Identification and Inference
by: Yao, Minhao, et al.
Published: (2025)

Causal Inference in Genetic Trio Studies
by: Bates, Stephen, et al.
Published: (2020)

Longitudinal Causal Inference with Selective Eligibility
by: Jiang, Zhichao, et al.
Published: (2024)

A Calibrated Sensitivity Analysis for Weighted Causal Decompositions
by: Shen, Andy A., et al.
Published: (2024)

Proximal Causal Inference for Modified Treatment Policies
by: Olivas-Martinez, Antonio, et al.
Published: (2025)

Semiparametric Inference for Causal Effects on Functional Outcomes
by: Nie, Junzhu, et al.
Published: (2026)

Skew-elliptical copula based mixed models for non-Gaussian longitudinal data with application to an HIV-AIDS study
by: Chattopadhyay, Subhajit
Published: (2024)

Factor copula models for non-Gaussian longitudinal data
by: Chattopadhyay, Subhajit
Published: (2024)

Finite mixture copulas for modeling dependence in longitudinal count data
by: Chattopadhyay, Subhajit
Published: (2024)

Cross-Balancing for Data-Informed Design and Efficient Analysis of Observational Studies
by: Jin, Ying, et al.
Published: (2025)

Inference for Heterogeneous Graphical Models using Doubly High-Dimensional Linear-Mixed Models
by: Yue, Kun, et al.
Published: (2024)

Causal Inference for Continuous Multiple Time Point Interventions
by: Schomaker, Michael, et al.
Published: (2023)

The Estimand Framework and Causal Inference: Complementary not Competing Paradigms
by: Drury, Thomas, et al.
Published: (2024)

Causal Inference with Outcomes Truncated by Death and Missing Not at Random
by: Li, Wei, et al.
Published: (2024)

Individualized Prediction Bands in Causal Inference with Continuous Treatments
by: Sampson, Max, et al.
Published: (2025)

Estimating the Effects of Heatwaves on Health: A Causal Inference Framework
by: Grossi, Giulio, et al.
Published: (2025)

GenAI Powered Dynamic Causal Inference with Unstructured Data
by: Nakamura, Kentaro, et al.
Published: (2026)

Multidimensional constructs and moderated linear and nonlinear factor analysis
by: Padgett, R. Noah
Published: (2025)

Degree of Interference: A General Framework For Causal Inference Under Interference
by: Ohnishi, Yuki, et al.
Published: (2022)

Estimating Causal Effects for Binary Outcomes Using Per-Decision Inverse Probability Weighting
by: Bao, Yihan, et al.
Published: (2023)

Bayesian Nonparametric Causal Inference for Quantile Residual Life: An Application to Alzheimer's Disease
by: Bae, Woojung, et al.
Published: (2026)

Prior Elicitation for Generalised Linear Models and Extensions
by: Hosack, Geoffrey R.
Published: (2023)

PanelMatch: Matching Methods for Causal Inference with Time-Series Cross-Section Data
by: Rauh, Adam, et al.
Published: (2025)

Robust Causal Inference for EHR-based Studies of Point Exposures with Missingness in Eligibility Criteria
by: Benz, Luke, et al.
Published: (2025)

Causal Inference of Blood Pressure Reduction and Coronary Heart Disease Risk in the Framingham Study
by: Patra, Suchibrata
Published: (2026)

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

Choosing Covariate Balancing Methods for Causal Inference: Practical Insights from a Simulation Study
by: Peyrot, Etienne, et al.
Published: (2024)

Explainable Linear and Generalized Linear Models by the Predictions Plot
by: Rousseeuw, Peter J.
Published: (2024)

Linear Model and Extensions
by: Ding, Peng
Published: (2024)

Analysis of Pleiotropy for Testosterone and Lipid Profiles in Males and Females
by: Chattopadhyay, Srijan, et al.
Published: (2023)