Results of Multivariable Logistic Regression, Propensity Matching, Propensity Adjustment, and Propensity-based Weighting under Conditions of Nonuniform Effect
نویسندگان
چکیده
منابع مشابه
Results of multivariable logistic regression, propensity matching, propensity adjustment, and propensity-based weighting under conditions of nonuniform effect.
Observational studies often provide the only available information about treatment effects. Control of confounding, however, remains challenging. The authors compared five methods for evaluating the effect of tissue plasminogen activator on death among 6,269 ischemic stroke patients registered in a German stroke registry: multivariable logistic regression, propensity score-matched analysis, reg...
متن کاملMatching and Propensity Scores
The popularity of matching techniques has increased considerably during the last decades. They are mainly used for matching treatment and control units in order to estimate causal treatment effects from observational studies or for integrating two or more data sets that share a common subset of covariates. In focusing on causal inference with observational studies, we discuss multivariate match...
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Introduction: The main task of the emergency medical system is to provide primary care and transfer the injured to a medical center. Studies have been conducted to investigate the outcome of helicopter and ground ambulance casualties, but they show different results. These different results may be due to the type of study, statistical methods, differences in pre-hospital emergency systems, an...
متن کاملWeighting regressions by propensity scores.
Regressions can be weighted by propensity scores in order to reduce bias. However, weighting is likely to increase random error in the estimates, and to bias the estimated standard errors downward, even when selection mechanisms are well understood. Moreover, in some cases, weighting will increase the bias in estimated causal parameters. If investigators have a good causal model, it seems bette...
متن کاملComparing treatment effects after adjustment with multivariable Cox proportional hazards regression and propensity score methods.
PURPOSE To compare adjusted effects of drug treatment for hypertension on the risk of stroke from propensity score (PS) methods with a multivariable Cox proportional hazards (Cox PH) regression in an observational study with censored data. METHODS From two prospective population-based cohort studies in The Netherlands a selection of subjects was used who either received drug treatment for hyp...
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ژورنال
عنوان ژورنال: American Journal of Epidemiology
سال: 2005
ISSN: 1476-6256,0002-9262
DOI: 10.1093/aje/kwj047