Building Representative Matched Samples With Multi-Valued Treatments in Large Observational Studies

Modern Algorithms for Matching in Observational Studies

(2019) Paul R. Rosenbaum   Annual Review of Statistics and Its Application

Minimal dispersion approximately balancing weights: asymptotic properties and practical considerations

(2019) Yixin Wang et al.   BIOMETRIKA

Estimation of Causal Effects with Multiple Treatments: A Review and New Ideas

(2017) Michael J. Lopez et al.   STATISTICAL SCIENCE

Propensity score matching and subclassification in observational studies with multi-level treatments

(2016) Shu Yang et al.   BIOMETRICS

Sensitivity Analysis for Multiple Comparisons in Matched Observational Studies Through Quadratically Constrained Linear Programming

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

Optimal Multilevel Matching in Clustered Observational Studies: A Case Study of the Effectiveness of Private Schools Under a Large-Scale Voucher System

(2016) José R. Zubizarreta et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Evaluation of subset matching methods and forms of covariate balance

(2016) María de los Angeles Resa et al.   STATISTICS IN MEDICINE

Large, Sparse Optimal Matching With Refined Covariate Balance in an Observational Study of the Health Outcomes Produced by New Surgeons

(2015) Samuel D. Pimentel 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

Mixed Integer Linear Programming Formulation Techniques

(2015) Juan Pablo Vielma   SIAM REVIEW

Isolation in the construction of natural experiments

(2014) José R. Zubizarreta et al.   Annals of Applied Statistics

Matching for balance, pairing for heterogeneity in an observational study of the effectiveness of for-profit and not-for-profit high schools in Chile

(2014) José R. Zubizarreta et al.   Annals of Applied Statistics

Template Matching for Auditing Hospital Cost and Quality

(2014) Jeffrey H. Silber et al.   HEALTH SERVICES RESEARCH

Enhancing a geographic regression discontinuity design through matching to estimate the effect of ballot initiatives on voter turnout

(2014) Luke Keele et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY

Causal inference from 2Kfactorial designs by using potential outcomes

(2014) Tirthankar Dasgupta et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Stronger instruments via integer programming in an observational study of late preterm birth outcomes

(2013) José R. Zubizarreta et al.   Annals of Applied Statistics

Balance Optimization Subset Selection (BOSS): An Alternative Approach for Causal Inference with Observational Data

(2013) Alexander G. Nikolaev et al.   OPERATIONS RESEARCH

Propensity score weighting with multilevel data

(2013) Fan Li et al.   STATISTICS IN MEDICINE

Matching for Several Sparse Nominal Variables in a Case-Control Study of Readmission Following Surgery

(2012) José R. Zubizarreta et al.   AMERICAN STATISTICIAN

Effect of the 2010 Chilean Earthquake on Posttraumatic Stress

(2012) José R. Zubizarreta et al.   EPIDEMIOLOGY

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

Optimal Nonbipartite Matching and Its Statistical Applications

(2011) Bo Lu et al.   AMERICAN STATISTICIAN

Optimal Matching with Minimal Deviation from Fine Balance in a Study of Obesity and Surgical Outcomes

(2011) Dan Yang et al.   BIOMETRICS

Bayesian Nonparametric Modeling for Causal Inference

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

Building a Stronger Instrument in an Observational Study of Perinatal Care for Premature Infants

(2010) Mike Baiocchi et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

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

(2010) Elizabeth A. Stuart   STATISTICAL SCIENCE

Sensitivity Analysis for Equivalence and Difference in an Observational Study of Neonatal Intensive Care Units

(2009) Paul R. Rosenbaum et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

For objective causal inference, design trumps analysis

(2008) Donald B. Rubin   Annals of Applied Statistics

On the Failure of the Bootstrap for Matching Estimators

(2008)   ECONOMETRICA