Activity Number:
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414
- Advances in Estimation Methods
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2018 : 2:00 PM to 3:50 PM
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Sponsor:
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SSC
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Abstract #328312
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Title:
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Doubly Robust Estimation and Causal Inference for Recurrent Event Data
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Author(s):
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Chien-Lin Mark Su* and Russell Steele and Ian Shrier
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Companies:
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McGill University and McGill University and McGill University
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Keywords:
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Average causal effect;
Confounder;
Multiplicative rate model;
Nelson-Aalen estimator;
Recurrent events
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Abstract:
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Recurrent events are frequently observed in many biomedical longitudinal studies. The interest of this paper is to estimate the average causal effects for recurrent event data in the presence of confounders. We propose a doubly robust estimator which combines the weighted Nelson-Aalen estmator and regression estimator based on an assumed semiparametic multiplicative rate model for recurrent event data. The proposed estimators are shown to be consistent and asymptotically normal. In addition, a model diagnostic plot of residuals is presented to assess the adequacy of the semiparametric model. The finite sample behavior of the proposed estimators is evaluated through simulation studies. The proposed methodologies are illustrated via an injury database for circus artists.
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Authors who are presenting talks have a * after their name.