Propensity score matching after multiple imputation when a confounder has missing data

Propensity score matching in otolaryngologic literature: A systematic review and critical appraisal

(2021) Aman Prasad et al.   PLoS One

To use or not to use propensity score matching?

(2020) Jixian Wang   PHARMACEUTICAL STATISTICS

Using simulation studies to evaluate statistical methods

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

Avoiding pitfalls when combining multiple imputation and propensity scores

(2019) Emily Granger et al.   STATISTICS IN MEDICINE

Reporting and Guidelines in Propensity Score Analysis: A Systematic Review of Cancer and Cancer Surgical Studies

(2017) Xiaoxin I. Yao et al.   JNCI-Journal of the National Cancer Institute

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

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

Reporting and Guidelines in Propensity Score Analysis: A Systematic Review of Cancer and Cancer Surgical Studies

(2017) Xiaoxin I. Yao et al.   JNCI-Journal of the National Cancer Institute

Matching on the Estimated Propensity Score

(2016) Alberto Abadie et al.   ECONOMETRICA

Appropriate inclusion of interactions was needed to avoid bias in multiple imputation

(2016) Kate Tilling et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Comments on propensity score matching following multiple imputation

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

mice: Multivariate Imputation by Chained Equations inR

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

MatchIt: Nonparametric Preprocessing for Parametric Causal Inference

(2015) Daniel E. Ho et al.   Journal of Statistical Software

Prognostic score–based balance measures can be a useful diagnostic for propensity score methods in comparative effectiveness research

(2013) Elizabeth A. Stuart et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

A comparison of 12 algorithms for matching on the propensity score

(2013) Peter C. Austin   STATISTICS IN MEDICINE

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

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

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

Propensity score estimation: neural networks, support vector machines, decision trees (CART), and meta-classifiers as alternatives to logistic regression

(2010) Daniel Westreich et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

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

Multiple imputation using chained equations: Issues and guidance for practice

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

Constructing Inverse Probability Weights for Marginal Structural Models

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

Multiple imputation when records used for imputation are not used or disseminated for analysis

(2008) J. P. Reiter   BIOMETRIKA

The Consistency Statement in Causal Inference

(2008) Stephen R. Cole et al.   EPIDEMIOLOGY

Discussion of research using propensity-score matching: Comments on ‘A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003’ by Peter Austin,Statistics in Medicine

(2008) Jennifer Hill   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