How to Apply Multiple Imputation in Propensity Score Matching with Partially Observed Confounders: A Simulation Study and Practical Recommendations

Robust Post-Matching Inference

(2020) Alberto Abadie et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Using simulation studies to evaluate statistical methods

(2019) Tim P. Morris et al.   STATISTICS IN MEDICINE

Performance of Matching Methods as Compared With Unmatched Ordinary Least Squares Regression Under Constant Effects

(2019) Anusha M Vable et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Missing data strategies for time‐varying confounders in comparative effectiveness studies of non‐missing time‐varying exposures and right‐censored outcomes

(2019) Manisha Desai et al.   STATISTICS IN MEDICINE

Avoiding pitfalls when combining multiple imputation and propensity scores

(2019) Emily Granger et al.   STATISTICS IN MEDICINE

Effect of Low-Fat vs Low-Carbohydrate Diet on 12-Month Weight Loss in Overweight Adults and the Association With Genotype Pattern or Insulin Secretion

(2018) Christopher D. Gardner et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Bootstrap inference when using multiple imputation

(2018) Michael Schomaker et al.   STATISTICS IN MEDICINE

Handling missing data in propensity score estimation in comparative effectiveness evaluations: a systematic review

(2018) Lucas Malla et al.   Journal of Comparative Effectiveness Research

Combining multiple imputation and bootstrap in the analysis of cost-effectiveness trial data

(2018) Jaap Brand et al.   STATISTICS IN MEDICINE

A comparison of different methods to handle missing data in the context of propensity score analysis

(2018) Jungyeon Choi et al.   EUROPEAN JOURNAL OF EPIDEMIOLOGY

Matched or unmatched analyses with propensity‐score–matched data?

(2018) Fei Wan   STATISTICS IN MEDICINE

To Text or Not to Text: Electronic Message Intervention to Improve Treatment Adherence Versus Matched Historical Controls

(2018) Marily A Oppezzo et al.   JMIR mHealth and uHealth

Using Design Thinking to Differentiate Useful From Misleading Evidence in Observational Research

(2017) Steven N. Goodman et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Balancing Covariates via Propensity Score Weighting

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

Propensity score analysis with partially observed covariates: How should multiple imputation be used?

(2017) Clémence Leyrat et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Matching on the Estimated Propensity Score

(2016) Alberto Abadie et al.   ECONOMETRICA

Comments on propensity score matching following multiple imputation

(2016) BBL Penning de Vries et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Navigating choices when applying multiple imputation in the presence of multi-level categorical interaction effects

(2015) Aya A. Mitani et al.   Statistical Methodology

mice: Multivariate Imputation by Chained Equations inR

(2015) Stef van Buuren et al.   Journal of Statistical Software

Multivariate and Propensity Score Matching Software with Automated Balance Optimization: TheMatchingPackage forR

(2015) Jasjeet S. Sekhon   Journal of Statistical Software

Inverse Probability Weighting with Missing Predictors of Treatment Assignment or Missingness

(2014) Shaun Seaman et al.   COMMUNICATIONS IN STATISTICS-THEORY AND METHODS

The use of bootstrapping when using propensity-score matching without replacement: a simulation study

(2014) Peter C. Austin et al.   STATISTICS IN MEDICINE

A Weighting Analogue to Pair Matching in Propensity Score Analysis

(2013) Liang Li et al.  

Multiple imputation of missing covariates with non-linear effects and interactions: an evaluation of statistical methods

(2012) Shaun R Seaman et al.   BMC Medical Research Methodology

A comparison of two methods of estimating propensity scores after multiple imputation

(2012) Robin Mitra et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

The Prospective, Observational, Multicenter, Major Trauma Transfusion (PROMMTT) Study

(2012) John B. Holcomb et al.   JAMA Surgery

Multiple imputation by chained equations: what is it and how does it work?

(2011) Melissa J. Azur et al.   INTERNATIONAL JOURNAL OF METHODS IN PSYCHIATRIC RESEARCH

An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies

(2011) Peter C. Austin   MULTIVARIATE BEHAVIORAL RESEARCH

Generalizing Evidence From Randomized Clinical Trials to Target Populations: The ACTG 320 Trial

(2010) S. R. Cole et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

The Critical Role Of Observational Evidence In Comparative Effectiveness Research

(2010) Rachael L. Fleurence et al.   HEALTH AFFAIRS

Using Science to Improve the Nation's Health System

(2010) Michael S. Lauer et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

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

Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies

(2010) Peter C. Austin   PHARMACEUTICAL STATISTICS

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

(2010) Elizabeth A. Stuart   STATISTICAL SCIENCE

Bias and efficiency of multiple imputation compared with complete-case analysis for missing covariate values

(2010) Ian R. White et al.   STATISTICS IN MEDICINE

Multiple imputation using chained equations: Issues and guidance for practice

(2010) Ian R. White et al.   STATISTICS IN MEDICINE

Dealing with limited overlap in estimation of average treatment effects

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

Propensity score estimation with missing values using a multiple imputation missingness pattern (MIMP) approach

(2009) Yongming Qu et al.   STATISTICS IN MEDICINE

Imputing missing covariate values for the Cox model

(2009) Ian R. White et al.   STATISTICS IN MEDICINE

On the Failure of the Bootstrap for Matching Estimators

(2008)   ECONOMETRICA

Developing practical recommendations for the use of propensity scores: Discussion of ‘A critical appraisal of propensity score matching in the medical literature between 1996 and 2003’ by Peter Austin,Statistics in Medicine

(2008) Elizabeth A. Stuart   STATISTICS IN MEDICINE

A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003

(2007) Peter C. Austin   STATISTICS IN MEDICINE