Evaluating uses of data mining techniques in propensity score estimation: a simulation study
about
Matching methods for causal inference: A review and a look forwardDoubly robust estimation of causal effectsConfounding 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 researchPropensity 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 scoreVariance reduction in randomised trials by inverse probability weighting using the propensity scoreModel Misspecification When Excluding Instrumental Variables From PS Models in Settings Where Instruments Modify the Effects of Covariates on TreatmentImproving 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 forestEstimating 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 matchingOn 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 analysisPropensity 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.
P2860
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P2860
Evaluating uses of data mining techniques in propensity score estimation: a simulation study
description
2008 nî lūn-bûn
@nan
2008 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Evaluating uses of data mining ...... estimation: a simulation study
@ast
Evaluating uses of data mining ...... estimation: a simulation study
@en
type
label
Evaluating uses of data mining ...... estimation: a simulation study
@ast
Evaluating uses of data mining ...... estimation: a simulation study
@en
prefLabel
Evaluating uses of data mining ...... estimation: a simulation study
@ast
Evaluating uses of data mining ...... estimation: a simulation study
@en
P2093
P2860
P356
P1476
Evaluating uses of data mining ...... estimation: a simulation study
@en
P2093
E Francis Cook
M Alan Brookhart
Robert J Glynn
Sebastian Schneeweiss
Soko Setoguchi
P2860
P304
P356
10.1002/PDS.1555
P577
2008-06-01T00:00:00Z