Propensity scoreWeightingCovariate balanceCausal inferenceOverlap weighting (OW), using weights defined as the probability of receiving the opposite treatment, is a relatively new, alternative propensity score (PS)-based weighting technique used to adjust for confounding when estimating...
Propensity score matching: 减少需要调整的变量的个数;根据balancing score, 用propensity score做的分类不能根据x进行区分。 X is the finest balancing score and the propensity score is the coarsest (the propensity score is a function of every balancing score) Probit and Logic Model for Binary Response...
Balancing covariates via propensity score weighting, Journal of the American Statistical Association (Overlap Weights, Weighted ATE) Covariate balancing propensity score by tailored loss functions. The Annals of Statistics Covariate balancing propensity score. Journal of the Royal Statistical Society: Series ...
Propensity score weighting is an important tool for causal inference and comparative effectiveness research. Besides the inverse probability of treatment weights (IPW), recent development has introduced a general class of balancing weights, corresponding to alternative target populations and estimands. In ...
We further propose a new weighting scheme, the overlap weights, in which each unit's weight is proportional to the probability of that unit being assigned to the opposite group. The overlap weights are bounded, and minimize the asymptotic variance of the weighted average treatment effect among ...
choosing an algorithm for matching based on that propensity score (e.g., nearest-neighbor matching with or without replacement); 3. checking for overlap and common support; 4. checking the quality of the match; and 5. assessing the sensitivity of the estimates of treatment effects. ...
Improving propensity score weighting using machine learning Machine learning techniques such as classification and regression trees (CART) have been suggested as promising alternatives to logistic regression for the... BK Lee,J Lessler,EA Stuart - 《Statistics in Medicine》 被引量: 449发表: 2010年 ...
Propensity score matching is a statistical method that is often used to make inferences on the treatment effects in observational studies. In recent years, there has been widespread use of the technique in the cardiothoracic surgery literature to evaluat
Comparative performance of the traditional propensity score (PS) and high-dimensional propensity score (hdPS) methods in the adjustment for confounding by indication remains unclear. We aimed to identify which method provided the best adjustment for confounding by indication within the context of the ri...
##psw{PSW}:Propensity Score Weighting Methods for Dichotomous Treatments library(PSW) ipw<-psw(data=cattaneo,form.ps=mbsmoke~mmarried+alcohol+mage+medu+fage+mrace+frace+fbaby+prenatal1,weight="ATE",std.diff=TRUE)#weight参数可指定的权重:"ATE"、 "ATT", "ATC"、"MW"、"OVERLAP"、"TRAPEZOIDAL...