2020
DOI: 10.1016/j.ijrobp.2020.02.638
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Understanding Propensity Score Analyses

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Cited by 32 publications
(32 citation statements)
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“…We performed adjusted analyses using a multiple linear regression model and IPTW using the propensity score estimated via logistic regression. The outcome model used in the IPTW analysis was a linear regression of outcome on BCT or mastectomy, weighted by the estimated propensity score [44,45]…”
Section: Discussionmentioning
confidence: 99%
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“…We performed adjusted analyses using a multiple linear regression model and IPTW using the propensity score estimated via logistic regression. The outcome model used in the IPTW analysis was a linear regression of outcome on BCT or mastectomy, weighted by the estimated propensity score [44,45]…”
Section: Discussionmentioning
confidence: 99%
“…In our study, the impact of specific patient and tumor characteristics (e.g., age, tumor grade or size, lymph node status, and the receipt of endocrine therapy and systemic therapy) were adjusted with the use of a rigorous approach to reduce the effects of confounding in the estimation of the type of local treatment effect. However, we acknowledge the limitations of the propensity score analysis and IPTW-matching method, especially that there was no adjustment for the impact of all baseline characteristics [45]. In addition, a comparison of the results of patients with stage I-IIA EBC and treated with mastectomy followed by postoperative radiation therapy would certainly add value to our research.…”
Section: Discussionmentioning
confidence: 99%
“…balanced confounders or statements of causality [20]. In light of the clinical reality that SCLC patients treated with SRS would often be highly selected, even after propensity score matching it is likely that that biases from uncontrolled and unmeasured confounding would remain.…”
Section: Discussionmentioning
confidence: 99%
“…We adopted a propensity score (PS) approach and used PS weighting (PSW) as the framework for analyses as advocated in the literature. 19 , 20 , 21 , 22 We estimated the probability of receiving a high radiotherapy dose (vs. standard dose) with a logistic regression model based on all the above covariates, and then assessed the balance of covariates between groups after PSW using overlap weight 23 via the standardized difference (SDif) rather than the chi‐square or t ‐test. 19 , 20 We compared the hazard ratio (HR) of death between the group A and group B groups during the entire follow‐up period via Cox proportional hazards model in the weighted sample for point estimation and used the bootstrap method to estimate the 95% confidence interval (95% CI).…”
Section: Methodsmentioning
confidence: 99%