Use of Propensity Scoring and Its Application to Real‐World Data: Advantages, Disadvantages, and Methodological Objectives Explained to Researchers Without Using Mathematical Equations

Development of a System for Post‐marketing Population Pharmacokinetic and Pharmacodynamic Studies using Real‐World Data from Electronic Health Records

(2020) Leena Choi et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

Practical considerations of utilizing propensity score methods in clinical development using real-world and historical data

(2020) Qing Li et al.   Contemporary Clinical Trials

Using propensity scores to estimate effects of treatment initiation decisions: State of the science

(2020) Michael Webster‐Clark et al.   STATISTICS IN MEDICINE

Real‐World Data and Clinical Pharmacology: A Regulatory Science Perspective

(2019) Qi Liu et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

Bounding bias due to selection

(2019) Louisa H. Smith et al.   EPIDEMIOLOGY

Influenza vaccination effectiveness for people aged under 65 years in Japan, 2013/2014 season: application of a doubly robust method to a large-scale, real-world dataset

(2019) Natsumi Shibata et al.   BMC INFECTIOUS DISEASES

Comparison of alternative approaches to trim subjects in the tails of the propensity score distribution

(2019) Robert J. Glynn et al.   PHARMACOEPIDEMIOLOGY AND DRUG SAFETY

Immunogenicity in Clinical Practice and Drug Development: When is it Significant?

(2019) Valentina Shakhnovich et al.   CTS-Clinical and Translational Science

Statistical primer: propensity score matching and its alternatives†

(2018) Umberto Benedetto et al.   EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY

Linear regression and the normality assumption

(2018) Amand F. Schmidt et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Propensity score matching analysis to evaluate the comparative effectiveness of daratumumab versus real-world standard of care therapies for patients with heavily pretreated and refractory multiple myeloma

(2018) Shaji Kumar et al.   LEUKEMIA & LYMPHOMA

Effectiveness of influenza vaccination for children in Japan: Four-year observational study using a large-scale claims database

(2018) Natsumi Shibata et al.   VACCINE

Use of Health Care Databases to Support Supplemental Indications of Approved Medications

(2018) Michael Fralick et al.   JAMA Internal Medicine

Identifying the “Blip on the Radar Screen”: Leveraging Big Data in Defining Drug Safety and Efficacy in Pediatric Practice

(2018) Michael L. Christensen et al.   JOURNAL OF CLINICAL PHARMACOLOGY

Anti-androgen monotherapy versus gonadotropin-releasing hormone agonists in men with advanced, non-metastatic prostate cancer: a register-based, observational study

(2018) Frederik Birkebæk Thomsen et al.   ACTA ONCOLOGICA

New “21st Century Cures” Legislation

(2017) Aaron S. Kesselheim et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Reducing bias using propensity score matching

(2017) Charity J. Morgan   JOURNAL OF NUCLEAR CARDIOLOGY

A GENERAL DOUBLE ROBUSTNESS RESULT FOR ESTIMATING AVERAGE TREATMENT EFFECTS

(2017) Tymon Słoczyński et al.   ECONOMETRIC THEORY

Cardiovascular Safety of Tocilizumab Versus Tumor Necrosis Factor Inhibitors in Patients With Rheumatoid Arthritis: A Multi-Database Cohort Study

(2017) Seoyoung C. Kim et al.   Arthritis & Rheumatology

Real-World Evidence — What Is It and What Can It Tell Us?

(2016) Rachel E. Sherman et al.   NEW ENGLAND JOURNAL OF MEDICINE

Treatment Persistence and Discontinuation with Rivaroxaban, Dabigatran, and Warfarin for Stroke Prevention in Patients with Non-Valvular Atrial Fibrillation in the United States

(2016) Craig I. Coleman et al.   PLoS One

Propensity scores for confounder adjustment when assessing the effects of medical interventions using nonexperimental study designs

(2014) T. Stürmer et al.   JOURNAL OF INTERNAL MEDICINE

Selecting an Appropriate Caliper Can Be Essential for Achieving Good Balance With Propensity Score Matching

(2013) Mark Lunt   AMERICAN JOURNAL OF EPIDEMIOLOGY

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 tutorial on propensity score estimation for multiple treatments using generalized boosted models

(2013) Daniel F. McCaffrey et al.   STATISTICS IN MEDICINE

A comparison of 12 algorithms for matching on the propensity score

(2013) Peter C. Austin   STATISTICS IN MEDICINE

One-to-many propensity score matching in cohort studies

(2012) Jeremy A. Rassen et al.   PHARMACOEPIDEMIOLOGY AND DRUG SAFETY

The performance of different propensity score methods for estimating marginal hazard ratios

(2012) Peter C. Austin   STATISTICS IN MEDICINE

Doubly Robust Estimation of Causal Effects

(2011) Michele Jonsson Funk et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

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

(2011) Peter C. Austin   MULTIVARIATE BEHAVIORAL RESEARCH

Comparing paired vs non-paired statistical methods of analyses when making inferences about absolute risk reductions in propensity-score matched samples

(2011) Peter C. Austin   STATISTICS IN MEDICINE

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

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

(2010) Elizabeth A. Stuart   STATISTICAL SCIENCE

The performance of different propensity-score methods for estimating differences in proportions (risk differences or absolute risk reductions) in observational studies

(2010) Peter C. Austin   STATISTICS IN MEDICINE

Type I Error Rates, Coverage of Confidence Intervals, and Variance Estimation in Propensity-Score Matched Analyses

(2009) Peter C Austin  

Improving propensity score weighting using machine learning

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

Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples

(2009) Peter C. Austin   STATISTICS IN MEDICINE

The performance of different propensity-score methods for estimating relative risks

(2008) Peter C. Austin   JOURNAL OF CLINICAL EPIDEMIOLOGY

Telmisartan, Ramipril, or Both in Patients at High Risk for Vascular Events

(2008)   NEW ENGLAND JOURNAL OF MEDICINE

Evaluating uses of data mining techniques in propensity score estimation: a simulation study

(2008) Soko Setoguchi et al.   PHARMACOEPIDEMIOLOGY AND DRUG SAFETY

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

(2007) Peter C. Austin   STATISTICS IN MEDICINE