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SPSS: A dialog box for Propensity Score Matching is available from the IBM SPSS Statistics menu (Data/Propensity Score Matching), and allows the user to set the match tolerance, randomize case order when drawing samples, prioritize exact matches, sample with or without replacement, set a random seed, and maximize performance by increasing ...
[1] [2] [3] Propensity score matching, an early matching technique, was developed as part of the Rubin causal model, [4] but has been shown to increase model dependence, bias, inefficiency, and power and is no longer recommended compared to other matching methods. [5]
Covariate adjustment can be carried out in a variety of ways. Gordon et al. (2018) illustrate many of these methods by means of online advertising data, such as propensity score matching, stratification, regression adjustment, and inverse probability weighted regression adjustment. They find that despite great variation in variables within ...
In these cases, we might use statistical procedures such as post-stratification, raking, or inverse propensity score weighting (where the propensity scores are estimated), among other methods. Using these methods requires assumptions about the initial design model.
An alternative estimator is the augmented inverse probability weighted estimator (AIPWE) combines both the properties of the regression based estimator and the inverse probability weighted estimator. It is therefore a 'doubly robust' method in that it only requires either the propensity or outcome model to be correctly specified but not both.
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The propensity theory of probability is a probability interpretation in which the probability is thought of as a physical propensity, disposition, or tendency of a given type of situation to yield an outcome of a certain kind, or to yield a long-run relative frequency of such an outcome.
[2] [3] A study from FuWai Hospital in Beijing [4] reports on 104 patients with multivessel coronary artery disease who were compared with the same sized group of patients undergoing off pump surgery using propensity score matching. The patients treated with the hybrid approach had a significantly lower ICU stay and intubation time and ...