Propensity Score Analysis with Partially Observed Baseline Covariates: A Practical Comparison of Methods for Handling Missing Data
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Title
Propensity Score Analysis with Partially Observed Baseline Covariates: A Practical Comparison of Methods for Handling Missing Data
Authors
Keywords
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Journal
International Journal of Environmental Research and Public Health
Volume 18, Issue 13, Pages 6694
Publisher
MDPI AG
Online
2021-06-23
DOI
10.3390/ijerph18136694
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Note: Only part of the references are listed.- Propensity scores using missingness pattern information: a practical guide
- (2020) Helen A. Blake et al. STATISTICS IN MEDICINE
- Comparison of methods for handling covariate missingness in propensity score estimation with a binary exposure
- (2020) Donna L. Coffman et al. BMC Medical Research Methodology
- The effect of a constraint on the maximum number of controls matched to each treated subject on the performance of full matching on the propensity score when estimating risk differences
- (2020) Peter C. Austin et al. STATISTICS IN MEDICINE
- The proportion of missing data should not be used to guide decisions on multiple imputation
- (2019) Paul Madley-Dowd et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Impact of Intravascular Ultrasound-Guided Percutaneous Coronary Intervention on Long-Term Clinical Outcomes in Patients Undergoing Complex Procedures
- (2019) Ki Hong Choi et al. JACC-Cardiovascular Interventions
- Effectiveness and Safety of Rivaroxaban Versus Warfarin in Nonvalvular Atrial Fibrillation Patients with Severe Kidney Disease or Undergoing Hemodialysis
- (2019) Craig I. Coleman et al. AMERICAN JOURNAL OF MEDICINE
- The validity of propensity score analysis using complete cases with partially observed covariates
- (2019) Byeong Yeob Choi et al. EUROPEAN JOURNAL OF EPIDEMIOLOGY
- The REDCap consortium: Building an international community of software platform partners
- (2019) Paul A. Harris et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Avoiding pitfalls when combining multiple imputation and propensity scores
- (2019) Emily Granger et al. STATISTICS IN MEDICINE
- Logistic regression with missing covariates—Parameter estimation, model selection and prediction within a joint-modeling framework
- (2019) Wei Jiang et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Statistical primer: propensity score matching and its alternatives†
- (2018) Umberto Benedetto et al. EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY
- Transthoracic echocardiography and mortality in sepsis: analysis of the MIMIC-III database
- (2018) Mengling Feng et al. INTENSIVE CARE MEDICINE
- Angiography Alone Versus Angiography Plus Optical Coherence Tomography to Guide Percutaneous Coronary Intervention
- (2018) Daniel A. Jones et al. JACC-Cardiovascular Interventions
- 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
- Should a propensity score model be super? The utility of ensemble procedures for causal adjustment
- (2018) Shomoita Alam et al. STATISTICS IN MEDICINE
- Comparison of Propensity Score Methods and Covariate Adjustment
- (2017) Markus C. Elze et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Propensity score analysis with partially observed covariates: How should multiple imputation be used?
- (2017) Clémence Leyrat et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- Optical coherence tomography compared with intravascular ultrasound and with angiography to guide coronary stent implantation (ILUMIEN III: OPTIMIZE PCI): a randomised controlled trial
- (2016) Ziad A Ali et al. LANCET
- Percutaneous coronary angioplasty versus coronary artery bypass grafting in treatment of unprotected left main stenosis (NOBLE): a prospective, randomised, open-label, non-inferiority trial
- (2016) Timo Mäkikallio et al. LANCET
- Everolimus-Eluting Stents or Bypass Surgery for Left Main Coronary Artery Disease
- (2016) Gregg W. Stone et al. NEW ENGLAND JOURNAL OF MEDICINE
- Should multiple imputation be the method of choice for handling missing data in randomized trials?
- (2016) Thomas R Sullivan et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- Propensity scores: Methods, considerations, and applications in the Journal of Thoracic and Cardiovascular Surgery
- (2015) Timothy L. McMurry et al. JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY
- Everolimus-Eluting Stents or Bypass Surgery for Multivessel Coronary Disease
- (2015) Sripal Bangalore et al. NEW ENGLAND JOURNAL OF MEDICINE
- Estimating the effect of treatment on binary outcomes using full matching on the propensity score
- (2015) Peter C Austin et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- Optimal full matching for survival outcomes: a method that merits more widespread use
- (2015) Peter C. Austin et al. STATISTICS IN MEDICINE
- Estimation of causal effects of binary treatments in unconfounded studies
- (2015) Roee Gutman et al. STATISTICS IN MEDICINE
- Using decision trees to understand structure in missing data
- (2015) Nicholas J Tierney et al. BMJ Open
- Using a Cross-Study Design to Assess the Efficacy of Motivational Enhancement Therapy–Cognitive Behavioral Therapy 5 (MET/CBT5) in Treating Adolescents with Cannabis-Related Disorders*
- (2015) Rajeev Ramchand et al. Journal of Studies on Alcohol and Drugs
- 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
- Covariate balancing propensity score
- (2013) Kosuke Imai et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- A tutorial on propensity score estimation for multiple treatments using generalized boosted models
- (2013) Daniel F. McCaffrey et al. STATISTICS IN MEDICINE
- Metrics for covariate balance in cohort studies of causal effects
- (2013) Jessica M. Franklin et al. STATISTICS IN MEDICINE
- Missing covariate data in clinical research: when and when not to use the missing-indicator method for analysis
- (2012) R. H. H. Groenwold et al. CANADIAN MEDICAL ASSOCIATION JOURNAL
- A comparison of two methods of estimating propensity scores after multiple imputation
- (2012) Robin Mitra et al. STATISTICAL METHODS IN MEDICAL RESEARCH
- Robust estimation of causal effects of binary treatments in unconfounded studies with dichotomous outcomes
- (2012) R. Gutman et al. STATISTICS IN MEDICINE
- An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies
- (2011) Peter C. Austin MULTIVARIATE BEHAVIORAL 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
- Estimating propensity scores with missing covariate data using general location mixture models
- (2010) Robin Mitra et al. STATISTICS IN MEDICINE
- Bias and efficiency of multiple imputation compared with complete-case analysis for missing covariate values
- (2010) Ian R. White et al. STATISTICS IN MEDICINE
- Dealing with Missing Predictor Values When Applying Clinical Prediction Models
- (2009) K. J.M. Janssen et al. CLINICAL CHEMISTRY
- Development and validation of a prediction model with missing predictor data: a practical approach
- (2009) Yvonne Vergouwe et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Improving propensity score weighting using machine learning
- (2009) Brian K. Lee et al. STATISTICS IN MEDICINE
- Testing treatment effects in unconfounded studies under model misspecification: Logistic regression, discretization, and their combination
- (2009) M. Z. Cangul et al. STATISTICS IN MEDICINE
- For objective causal inference, design trumps analysis
- (2008) Donald B. Rubin Annals of Applied Statistics
- Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support
- (2008) Paul A. Harris et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Estimating and using propensity score in presence of missing background data: an application to assess the impact of childbearing on wellbeing
- (2008) Alessandra Mattei Statistical Methods and Applications
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