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Activity Number:
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59
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Type:
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Topic Contributed
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Date/Time:
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Sunday, July 31, 2016 : 4:00 PM to 5:50 PM
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Sponsor:
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Health Policy Statistics Section
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Abstract #320326
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Title:
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Maximizing the Information Content of a Balanced Matched Sample
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Author(s):
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Jose Zubizarreta* and Cinar Kilcioglu
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Companies:
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Columbia University and Columbia University
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Keywords:
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Causal inference ;
Matched sampling ;
Observational studies ;
Propensity score
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Abstract:
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We propose a general framework for matching in observational studies and specific matching methods within this framework that simultaneously achieve three goals: (i) maximize the information content of a matched sample; (ii) form the matches using a flexible matching structure (such as a one-to-many/many-to-one structure); and (iii) directly attain covariate balance as specified -before matching- by the investigator.
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Authors who are presenting talks have a * after their name.
