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

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

http://www.wikidata.org/entity/Q31148198

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Matching methods for causal inference: A review and a look forward Doubly robust estimation of causal effects Confounding control in a nonexperimental study of STAR*D data: logistic regression balanced covariates better than boosted CART.Evaluating performance of risk identification methods through a large-scale simulation of observational data.Propensity score weighting for a continuous exposure with multilevel data.Improving propensity score weighting using machine learning.Propensity score methods for confounding control in nonexperimental research Propensity scores for confounder adjustment when assessing the effects of medical interventions using nonexperimental study designs.Weight trimming and propensity score weighting.The role of prediction modeling in propensity score estimation: an evaluation of logistic regression, bCART, and the covariate-balancing propensity score Variance reduction in randomised trials by inverse probability weighting using the propensity score Model Misspecification When Excluding Instrumental Variables From PS Models in Settings Where Instruments Modify the Effects of Covariates on Treatment Improving propensity score estimators' robustness to model misspecification using super learner.Using Ensemble-Based Methods for Directly Estimating Causal Effects: An Investigation of Tree-Based G-Computation.Gang membership and substance use: guilt as a gendered causal pathway.Double-adjustment in propensity score matching analysis: choosing a threshold for considering residual imbalance.Propensity score and proximity matching using random forest Estimating controlled direct effects of restrictivefeeding practices in the 'Early dieting in girls' study.An empirical comparison of tree-based methods for propensity score estimation.Evaluating treatment effectiveness under model misspecification: A comparison of targeted maximum likelihood estimation with bias-corrected matching On the joint use of propensity and prognostic scores in estimation of the average treatment effect on the treated: a simulation study.Propensity score estimation: neural networks, support vector machines, decision trees (CART), and meta-classifiers as alternatives to logistic regression.Introduction to propensity scores.Using classification tree analysis to generate propensity score weights.Evaluating different strategies for estimating treatment effects in observational studies.Use and Interpretation of Propensity Scores in Aging Research: A Guide for Clinical Researchers.Improving causal inference with a doubly robust estimator that combines propensity score stratification and weighting.Targeted Maximum Likelihood Estimation for Causal Inference in Observational Studies.Variance estimation when using inverse probability of treatment weighting (IPTW) with survival analysis Propensity scores: from naive enthusiasm to intuitive understanding.Challenges With Propensity Score Strategies in a High-Dimensional Setting and a Potential Alternative.Comparing high-dimensional confounder control methods for rapid cohort studies from electronic health records.An Evaluation of Weighting Methods Based on Propensity Scores to Reduce Selection Bias in Multilevel Observational Studies.The performance of inverse probability of treatment weighting and full matching on the propensity score in the presence of model misspecification when estimating the effect of treatment on survival outcomes.An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies.The performance of different propensity score methods for estimating marginal hazard ratios.The use of bootstrapping when using propensity-score matching without replacement: a simulation study.Measuring balance and model selection in propensity score methods.A comparison of two methods of estimating propensity scores after multiple imputation.The Balance Super Learner: A robust adaptation of the Super Learner to improve estimation of the average treatment effect in the treated based on propensity score matching.

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P2860

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

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M Alan Brookhart

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Risks and benefits of estrogen plus progestin in healthy postmenopausal women: principal results From the Women's Health Initiative randomized controlled trial

The use of the propensity score for estimating treatment effects: administrative versus clinical data

Randomized trial of estrogen plus progestin for secondary prevention of coronary heart disease in postmenopausal women. Heart and Estrogen/progestin Replacement Study (HERS) Research Group

Some insights into Miettinen's multivariate confounder score approach to case-control study analysis.

Outcomes in patients with myocardial infarction who are initially admitted to stepdown units: data from the Multicenter Chest Pain Study.

A review of the application of propensity score methods yielded increasing use, advantages in specific settings, but not substantially different estimates compared with conventional multivariable methods.

Variable selection for propensity score models

Propensity score methods gave similar results to traditional regression modeling in observational studies: a systematic review.

Estimating causal effects from large data sets using propensity scores.

Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group

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