R语言lm函数对权重参数的释义时也特别指出:The sigma estimate and residual degrees of freedom may be suboptimal; in the case of replication weights, even wrong. Hence, standard errors and analysis of variance tables should be treated with care. 在观察性研究中使用稳定权重理论上可以得到与原始数据样本...
In a propensity score-weighted analysis you first estimate the propensity, here the chance of long-distance migration, given a relevant set of predictors, Pr(E = 1|Z) for each individual in the study population, 锚i, by a regression model. The effect of long-distance migration on the ...
The effect of whole blood resuscitation on in-hospital mortality: A propensity score weighted analysis of patients treated at a Level I trauma center doi:10.1097/TA.0000000000004438Massive transfusionwhole bloodcomponent therapypenetrating injuryThe effect of whole-blood resuscitation on in-hospital ...
Clinical Outcomes of Several IMRT Techniques for Patients With Head and Neck Cancer: A Propensity Score-Weighted Analysis 来自 掌桥科研 喜欢 0 阅读量: 3 作者: JE Bibault,S Dussart,P Pommier,M Morelle,M Huguet,P Boisselier,B Coche-Dequeant,M Alfonsi,E Bardet,M Rives 展开 摘要: ...
Propensity score analysis (PSA) is a common method for estimating treatment effects, but researchers dealing with data from survey designs are generally not properly accounting for the sampling weights in their analyses. Moreover, recommendations given in the few existing methodological articles on this...
Introduction to Different Package: PSweight: An R Package for Propensity Score Weighting Analysis R Package : PSweight R Package : twang R Package : CBPS R Package : PSW R Package : optweight R Package : ATE R Package : WeightIt R Package : causalweight R Package : sbw 1. Low-...
We present and compare several propensity-score-weighted estimators for clustered data, including marginal, cluster-weighted, and doubly robust estimators. Using both analytical derivations and Monte Carlo simulations, we illustrate bias arising when the usual assumptions of propensity score analysis do ...
Childhood Longitudinal Study—Birth Cohort, we examined the effectiveness of preschool special education services by comparing reading and math outcomes for children who received special education services at preschool-age to a propensity-score-weighted sample of children who did not receive these services...
1215Considerations for using multiple imputation in propensity score-weighted analysis BACKGROUND. Here we present the problems encountered when combining multiple imputation to handle missing data, propensity score-weighting to adjust for confounding and bootstrap to produce a percentile confidence interval....
We define a general class of weights—the balancing weights—that balance the weighted distributions of the covariates between treatment groups. These weights incorporate the propensity score to weight each group to an analyst-selected target population. This class unifies existing weighting methods, ...