Related references
Note: Only part of the references are listed.Covariate balancing propensity score
Kosuke Imai et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2014)
STRONGER INSTRUMENTS VIA INTEGER PROGRAMMING IN AN OBSERVATIONAL STUDY OF LATE PRETERM BIRTH OUTCOMES
Jose R. Zubizarreta et al.
ANNALS OF APPLIED STATISTICS (2013)
Effect of the 2010 Chilean Earthquake on Posttraumatic Stress Reducing Sensitivity to Unmeasured Bias Through Study Design
Jose R. Zubizarreta et al.
EPIDEMIOLOGY (2013)
Adjusting treatment effect estimates by post-stratification in randomized experiments
Luke W. Miratrix et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2013)
Optimal Matching with Minimal Deviation from Fine Balance in a Study of Obesity and Surgical Outcomes
Dan Yang et al.
BIOMETRICS (2012)
Improved double-robust estimation in missing data and causal inference models
Andrea Rotnitzky et al.
BIOMETRIKA (2012)
Using Mixed Integer Programming for Matching in an Observational Study of Kidney Failure After Surgery
Jose R. Zubizarreta
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2012)
Matching for Several Sparse Nominal Variables in a Case-Control Study of Readmission Following Surgery
Jose R. Zubzarreta et al.
AMERICAN STATISTICIAN (2011)
The use of propensity scores to assess the generalizability of results from randomized trials
Elizabeth A. Stuart et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY (2011)
Bounded, efficient and doubly robust estimation with inverse weighting
Zhiqiang Tan
BIOMETRIKA (2010)
Building a Stronger Instrument in an Observational Study of Perinatal Care for Premature Infants
Mike Baiocchi et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2010)
Matching Methods for Causal Inference: A Review and a Look Forward
Elizabeth A. Stuart
STATISTICAL SCIENCE (2010)
Dealing with limited overlap in estimation of average treatment effects
Richard K. Crump et al.
BIOMETRIKA (2009)
Constructing inverse probability weights for marginal structural models
Stephen R. Cole et al.
AMERICAN JOURNAL OF EPIDEMIOLOGY (2008)
FOR OBJECTIVE CAUSAL INFERENCE, DESIGN TRUMPS ANALYSIS
Donald B. Rubin
ANNALS OF APPLIED STATISTICS (2008)
Demystifying double robustness: A comparison of alternative strategies for estimating a population mean from incomplete data
Joseph D. Y. Kang et al.
STATISTICAL SCIENCE (2007)
Causal inference using potential outcomes: Design, modeling, decisions
DB Rubin
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2005)
Instrumental variables and inverse probability weighting for causal inference from longitudinal observational studies
JW Hogan et al.
STATISTICAL METHODS IN MEDICAL RESEARCH (2004)
Model selection, confounder control, and marginal structural models: Review and new applications
MM Joffe et al.
AMERICAN STATISTICIAN (2004)
Validating recommendations for coronary angiography following acute myocardial infarction in the elderly: A matched analysis using propensity scores
SLT Normand et al.
JOURNAL OF CLINICAL EPIDEMIOLOGY (2001)
Share Paper
