Propensity score matching and inverse probability of treatment weighting to address confounding by indication in comparative effectiveness research of oral anticoagulants

Alternative approaches for confounding adjustment in observational studies using weighting based on the propensity score: a primer for practitioners

(2019) Rishi J Desai et al.   BMJ-British Medical Journal

Doubly Robust Estimation of Causal Effect

(2019) Xiaochun Li et al.  

Direct comparative effectiveness and safety between non-vitamin K antagonist oral anticoagulants for stroke prevention in nonvalvular atrial fibrillation: a systematic review and meta-analysis of observational studies

(2018) Guowei Li et al.   EUROPEAN JOURNAL OF EPIDEMIOLOGY

Evaluation of comparative effectiveness research: a practical tool

(2018) Debra A Schaumberg et al.   Journal of Comparative Effectiveness Research

Three-Year Clinical Outcomes Associated With Warfarin vs. Direct Oral Anticoagulant Use Among Japanese Patients With Atrial Fibrillation　― Findings From the SAKURA AF Registry ―

(2018) Yasuo Okumura et al.   CIRCULATION JOURNAL

Effectiveness and Safety of Oral Anticoagulants Among Nonvalvular Atrial Fibrillation Patients

(2018) Gregory Y.H. Lip et al.   STROKE

Comparison of Propensity Score Methods and Covariate Adjustment

(2017) Markus C. Elze et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Good practices for real-world data studies of treatment and/or comparative effectiveness: Recommendations from the joint ISPOR-ISPE Special Task Force on real-world evidence in health care decision making

(2017) Marc L. Berger et al.   PHARMACOEPIDEMIOLOGY AND DRUG SAFETY

Effectiveness and safety of reduced dose non-vitamin K antagonist oral anticoagulants and warfarin in patients with atrial fibrillation: propensity weighted nationwide cohort study

(2017) Peter Brønnum Nielsen et al.   BMJ-British Medical Journal

Effectiveness and safety of reduced dose non-vitamin K antagonist oral anticoagulants and warfarin in patients with atrial fibrillation: propensity weighted nationwide cohort study

(2017) Peter Brønnum Nielsen et al.   BMJ-British Medical Journal

Targeted Maximum Likelihood Estimation for Causal Inference in Observational Studies

(2016) Megan S. Schuler et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

A Review of Propensity-Score Methods and Their Use in Cardiovascular Research

(2016) Saswata Deb et al.   CANADIAN JOURNAL OF CARDIOLOGY

Propensity Score Weighting Compared to Matching in a Study of Dabigatran and Warfarin

(2016) John D. Seeger et al.   DRUG SAFETY

Confounding by Indication in Clinical Research

(2016) Demetrios N. Kyriacou et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions

(2016) Jonathan AC Sterne et al.   BMJ-British Medical Journal

Comparative effectiveness and safety of non-vitamin K antagonist oral anticoagulants and warfarin in patients with atrial fibrillation: propensity weighted nationwide cohort study

(2016) Torben Bjerregaard Larsen et al.   BMJ-British Medical Journal

ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions

(2016) Jonathan AC Sterne et al.   BMJ-British Medical Journal

Comparative effectiveness and safety of non-vitamin K antagonist oral anticoagulants and warfarin in patients with atrial fibrillation: propensity weighted nationwide cohort study

(2016) Torben Bjerregaard Larsen et al.   BMJ-British Medical Journal

Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies

(2015) Peter C. Austin et al.   STATISTICS IN MEDICINE

Worldwide Epidemiology of Atrial Fibrillation

(2013) Sumeet S. Chugh et al.   CIRCULATION

Edoxaban versus Warfarin in Patients with Atrial Fibrillation

(2013) Robert P. Giugliano et al.   NEW ENGLAND JOURNAL OF MEDICINE

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

Applications of propensity score methods in observational comparative effectiveness and safety research: where have we come and where should we go?

(2013) Bijan J Borah et al.   Journal of Comparative Effectiveness Research

One-to-many propensity score matching in cohort studies

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

Doubly Robust Estimation of Causal Effects

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

Are propensity scores really superior to standard multivariable analysis?

(2011) Giuseppe Biondi-Zoccai et al.   Contemporary Clinical Trials

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

(2011) Peter C. Austin   MULTIVARIATE BEHAVIORAL RESEARCH

Apixaban versus Warfarin in Patients with Atrial Fibrillation

(2011) Christopher B. Granger et al.   NEW ENGLAND JOURNAL OF MEDICINE

Rivaroxaban versus Warfarin in Nonvalvular Atrial Fibrillation

(2011) Manesh R. Patel et al.   NEW ENGLAND JOURNAL OF MEDICINE

Statistical Criteria for Selecting the Optimal Number of Untreated Subjects Matched to Each Treated Subject When Using Many-to-One Matching on the Propensity Score

(2010) Peter C. Austin   AMERICAN JOURNAL OF 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

Dabigatran versus Warfarin in Patients with Atrial Fibrillation

(2009) Stuart J. Connolly et al.   NEW ENGLAND JOURNAL OF MEDICINE

Good Research Practices for Comparative Effectiveness Research: Analytic Methods to Improve Causal Inference from Nonrandomized Studies of Treatment Effects Using Secondary Data Sources: The ISPOR Good Research Practices for Retrospective Database Analysis Task Force Report—Part III

(2009) Michael L. Johnson et al.   VALUE IN HEALTH

Use of Stabilized Inverse Propensity Scores as Weights to Directly Estimate Relative Risk and Its Confidence Intervals

(2009) Stanley Xu et al.   VALUE IN HEALTH