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Evaluating the Utility of Coarsened Exact Matching for Pharmacoepidemiology Using Real and Simulated Claims Data

https://doi.org/10.1093/aje/kwz268
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9781118625392.wbecp505openalex-snapshot
Propensity Score Analysis
inferredcites →https://doi.org/10.1002/art.22219openalex-snapshot
Simultaneous assessment of short‐term gastrointestinal benefits and cardiovascular risks of selective cyclooxygenase 2 inhibitors and nonselective nonsteroidal antiinflammatory drugs: An instrumental variable analysis
inferredcites →https://doi.org/10.1002/pds.969openalex-snapshot
Principles for modeling propensity scores in medical research: a systematic literature review
inferredcites →https://doi.org/10.1002/sim.2580openalex-snapshot
A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study
inferredcites →https://doi.org/10.1002/sim.2673openalex-snapshot
The design of simulation studies in medical statistics
inferredcites →https://doi.org/10.1002/sim.3150openalex-snapshot
A critical appraisal of propensity‐score matching in the medical literature between 1996 and 2003
inferredcites →https://doi.org/10.1002/sim.3697openalex-snapshot
Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity‐score matched samples
inferredcites →https://doi.org/10.1002/sim.4780100409openalex-snapshot
Channeling bias in the interpretation of drug effects
inferredcites →https://doi.org/10.1002/sim.5884openalex-snapshot
Bias associated with using the estimated propensity score as a regression covariate
inferredcites →https://doi.org/10.1002/sim.6058openalex-snapshot
Metrics for covariate balance in cohort studies of causal effects
inferredcites →https://doi.org/10.1002/sim.6276openalex-snapshot
The use of bootstrapping when using propensity‐score matching without replacement: a simulation study
inferredcites →https://doi.org/10.1002/sim.7250openalex-snapshot
Comparing the performance of propensity score methods in healthcare database studies with rare outcomes.
inferredcites →https://doi.org/10.1007/s40471-017-0131-yopenalex-snapshot
Propensity Scores in Pharmacoepidemiology: Beyond the Horizon
inferredcites →https://doi.org/10.1016/0021-9681(87)90171-8openalex-snapshot
A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation
inferredcites →https://doi.org/10.1016/j.csda.2008.02.032openalex-snapshot
The use of plasmodes as a supplement to simulations: A simple example evaluating individual admixture estimation methodologies
inferredcites →https://doi.org/10.1016/j.csda.2013.10.018openalex-snapshot
Plasmode simulation for the evaluation of pharmacoepidemiologic methods in complex healthcare databases
inferredcites →https://doi.org/10.1016/j.jclinepi.2007.07.011openalex-snapshot
The performance of different propensity-score methods for estimating relative risks
inferredcites →https://doi.org/10.1016/j.jtcvs.2007.07.021openalex-snapshot
Propensity-score matching in the cardiovascular surgery literature from 2004 to 2006: A systematic review and suggestions for improvement
inferredcites →https://doi.org/10.1017/cbo9780511810725.025openalex-snapshot
Combining Propensity Score Matching with Additional Adjustments for Prognostic Covariates
inferredcites →https://doi.org/10.1017/pan.2019.11openalex-snapshot
Why Propensity Scores Should Not Be Used for Matching
inferredcites →https://doi.org/10.1037/a0019623openalex-snapshot
Propensity score techniques and the assessment of measured covariate balance to test causal associations in psychological research.
inferredcites →https://doi.org/10.1056/nejmoa1312828openalex-snapshot
Antidepressant Use in Pregnancy and the Risk of Cardiac Defects
inferredcites →https://doi.org/10.1080/01621459.1979.10482513openalex-snapshot
Using Multivariate Matched Sampling and Regression Adjustment to Control Bias in Observational Studies
inferredcites →https://doi.org/10.1080/01621459.1984.10478078openalex-snapshot
Reducing Bias in Observational Studies Using Subclassification on the Propensity Score
inferredcites →https://doi.org/10.1080/01621459.2000.10474233openalex-snapshot
Combining Propensity Score Matching with Additional Adjustments for Prognostic Covariates
inferredcites →https://doi.org/10.1080/10618600.1993.10474623openalex-snapshot
Comparison of Multivariate Matching Methods: Structures, Distances, and Algorithms
inferredcites →https://doi.org/10.1089/pop.2011.0104openalex-snapshot
Exploring Robust Methods for Evaluating Treatment and Comparison Groups in Chronic Care Management Programs
inferredcites →https://doi.org/10.1093/aje/kwp436openalex-snapshot
Invited Commentary: Positivity in Practice
inferredcites →https://doi.org/10.1093/aje/kwv108openalex-snapshot
Regularized Regression Versus the High-Dimensional Propensity Score for Confounding Adjustment in Secondary Database Analyses
inferredcites →https://doi.org/10.1093/aje/kwy078openalex-snapshot
Implications of the Propensity Score Matching Paradox in Pharmacoepidemiology
inferredcites →https://doi.org/10.1093/aje/kwz093openalex-snapshot
Performance of Matching Methods as Compared With Unmatched Ordinary Least Squares Regression Under Constant Effects
inferredcites →https://doi.org/10.1093/biomet/70.1.41openalex-snapshot
The central role of the propensity score in observational studies for causal effects
inferredcites →https://doi.org/10.1093/pan/mpl013openalex-snapshot
Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference
inferredcites →https://doi.org/10.1093/pan/mpr013openalex-snapshot
Causal Inference without Balance Checking: Coarsened Exact Matching
inferredcites →https://doi.org/10.1097/01.ede.0000193606.58671.c5openalex-snapshot
Evaluating Short-Term Drug Effects Using a Physician-Specific Prescribing Preference as an Instrumental Variable
inferredcites →https://doi.org/10.1097/ede.0000000000000069openalex-snapshot
Studies with Many Covariates and Few Outcomes
inferredcites →https://doi.org/10.1097/ede.0000000000000249openalex-snapshot
Application of Propensity-Score Matching in Four Leading Medical Journals
inferredcites →https://doi.org/10.1097/ede.0000000000000595openalex-snapshot
A Propensity-score-based Fine Stratification Approach for Confounding Adjustment When Exposure Is Infrequent
inferredcites →https://doi.org/10.1097/ede.0b013e3181a663ccopenalex-snapshot
High-dimensional Propensity Score Adjustment in Studies of Treatment Effects Using Health Care Claims Data
inferredcites →https://doi.org/10.1111/1475-6773.12452openalex-snapshot
The Comparison of Matching Methods Using Different Measures of Balance: Benefits and Risks Exemplified within a Study to Evaluate the Effects of German Disease Management Programs on Long‐Term Outcomes of Patients with Type 2 Diabetes
inferredcites →https://doi.org/10.1111/j.1742-7843.2006.pto_293.xopenalex-snapshot
Indications for Propensity Scores and Review of their Use in Pharmacoepidemiology
inferredcites →https://doi.org/10.1136/bmj.h1035openalex-snapshot
Statins and congenital malformations: cohort study
inferredcites →https://doi.org/10.1136/bmj.i1981openalex-snapshot
Sparse data bias: a problem hiding in plain sight
inferredcites →https://doi.org/10.1162/003465304323023705openalex-snapshot
Using Matching to Estimate Treatment Effects: Data Requirements, Matching Metrics, and Monte Carlo Evidence
inferredcites →https://doi.org/10.1177/0962280210386207openalex-snapshot
Diagnosing and responding to violations in the positivity assumption
inferredcites →https://doi.org/10.1177/0962280213519716openalex-snapshot
The performance of different propensity score methods for estimating absolute effects of treatments on survival outcomes: A simulation study
inferredcites →https://doi.org/10.1177/1523422314559809openalex-snapshot
Propensity Score Analysis
inferredcites →https://doi.org/10.1198/jasa.2011.tm09599openalex-snapshot
Multivariate Matching Methods That Are Monotonic Imbalance Bounding
inferredcites →https://doi.org/10.1214/09-sts313openalex-snapshot
Matching Methods for Causal Inference: A Review and a Look Forward
inferredcites →https://doi.org/10.18637/jss.v042.i08openalex-snapshot
MatchIt : Nonparametric Preprocessing for Parametric Causal Inference
inferredcites →https://doi.org/10.2307/2286330openalex-snapshot
Using Multivariate Matched Sampling and Regression Adjustment to Control Bias in Observational Studies
inferredcites →https://doi.org/10.2307/2288398openalex-snapshot
Reducing Bias in Observational Studies Using Subclassification on the Propensity Score
inferredcites →https://doi.org/10.2307/2528036openalex-snapshot
The Effectiveness of Adjustment by Subclassification in Removing Bias in Observational Studies
inferredcites →https://doi.org/10.2427/8940openalex-snapshot
Propensity score methodology for confounding control in health care utilization databases

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Additional file 1 of Design and analysis of outcomes following SARS-CoV-2 infection in veterans
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Additional file 1 of Differences in health-related quality of life between the Roma community and the general population in Romania
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Additional file 2 of Differences in health-related quality of life between the Roma community and the general population in Romania
inferred← citeshttps://doi.org/10.6084/m9.figshare.26556842openalex-snapshot
Additional file 3 of Differences in health-related quality of life between the Roma community and the general population in Romania
inferred← citeshttps://doi.org/10.6084/m9.figshare.26556845openalex-snapshot
Additional file 4 of Differences in health-related quality of life between the Roma community and the general population in Romania
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Additional file 1 of Comparison of two propensity score-based methods for balancing covariates: the overlap weighting and fine stratification methods in real-world claims data
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Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.