Balancing vs modeling approaches to weighting in practice

Covariate balancing propensity score by tailored loss functions

(2019) Qingyuan Zhao   ANNALS OF STATISTICS

Regularized calibrated estimation of propensity scores with model misspecification and high-dimensional data

(2019) Z Tan   BIOMETRIKA

Covariate association eliminating weights: a unified weighting framework for causal effect estimation

(2018) Sean Yiu et al.   BIOMETRIKA

Approximate residual balancing: debiased inference of average treatment effects in high dimensions

(2018) Susan Athey et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

On Two Approaches to Weighting in Causal Inference

(2017) David A. Hirshberg et al.   EPIDEMIOLOGY

Impact of National Ambient Air Quality Standards nonattainment designations on particulate pollution and health

(2017) Corwin M. Zigler et al.   EPIDEMIOLOGY

Optimal Probability Weights for Inference With Constrained Precision

(2017) Michele Santacatterina et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Balancing Covariates via Propensity Score Weighting

(2017) Fan Li et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Discrete Optimization for Interpretable Study Populations and Randomization Inference in an Observational Study of Severe Sepsis Mortality

(2016) Colin B. Fogarty et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data

(2015) José R. Zubizarreta   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

From sample average treatment effect to population average treatment effect on the treated: combining experimental with observational studies to estimate population treatment effects

(2015) Erin Hartman et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY

Globally efficient non-parametric inference of average treatment effects by empirical balancing calibration weighting

(2015) Kwun Chuen Gary Chan et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies

(2015) Peter C. Austin et al.   STATISTICS IN MEDICINE

Covariate balancing propensity score

(2013) Kosuke Imai et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Using Mixed Integer Programming for Matching in an Observational Study of Kidney Failure After Surgery

(2012) José R. Zubizarreta   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Invited Commentary: Positivity in Practice

(2010) D. Westreich et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

BART: Bayesian additive regression trees

(2010) Hugh A. Chipman et al.   Annals of Applied Statistics

Bayesian Nonparametric Modeling for Causal Inference

(2010) Jennifer L. Hill   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

The use of propensity scores to assess the generalizability of results from randomized trials

(2010) Elizabeth A. Stuart et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY

Diagnosing and responding to violations in the positivity assumption

(2010) Maya L Petersen et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Matching Methods for Causal Inference: A Review and a Look Forward

(2010) Elizabeth A. Stuart   STATISTICAL SCIENCE

Dealing with limited overlap in estimation of average treatment effects

(2009) R. K. Crump et al.   BIOMETRIKA

Split Samples and Design Sensitivity in Observational Studies

(2009) Ruth Heller et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Improving propensity score weighting using machine learning

(2009) Brian K. Lee et al.   STATISTICS IN MEDICINE

Constructing Inverse Probability Weights for Marginal Structural Models

(2008) S. R. Cole et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

For objective causal inference, design trumps analysis

(2008) Donald B. Rubin   Annals of Applied Statistics

Misunderstandings between experimentalists and observationalists about causal inference

(2008) Kosuke Imai et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY