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Activity Number:
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425
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Health Policy Statistics
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| Abstract - #305837 |
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Title:
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A New Method for Assigning Weights for Propensity Score Analysis
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Author(s):
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Michael Posner*+
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Companies:
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Villanova University
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Address:
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Department of Mathematical Sciences, Villanova, PA, 19085,
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Keywords:
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Abstract:
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The propensity score method is frequently used to deal with bias in observational studies. It involves calculating the conditional probability (propensity) of being in the treated group given a set of covariates, weighting (or sampling) the data based on these propensity scores, and then analyzing the outcome using the weighted data. I first review methods of data selection or allocation of weights for propensity score analysis and then introduce weighting within strata as alternative weighting methods. These new methods are compared to existing ones using empirical analysis and an via an application on sending patients to respite care. Simulations are then described and discussed to compare the existing and new methods.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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