Abstract #302243

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JSM 2003 Abstract #302243
Activity Number: 421
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 2:00 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract - #302243
Title: Inference when the Probability of Treatment is Estimated
Author(s): Mary Redman*+ and Babette Brumback
Companies: University of Washington and University of California, Los Angeles
Address: Dept. of Biostatistics, Seattle, WA, 98195-0001,
Keywords: causal inference ; g-estimation ; instrumental variables ; propensity score
Abstract:

Recently, Brumback, Greenland, Redmanm, et al. (2003) introduced the intensity-score approach to adjusting for confounding when estimating the causal effect of a treatment. The method consists of two stages: a regression of treatment on confounders (e.g., medical history), followed by a regression of outcome on the intensity score, defined as treatment minus expected treatment given confounders. A variant of the approach scales the intensity-score by the inverse expected treatment. We present both analytic and simulation results for the effect of estimating the expected treatment on the variance of the estimated effect of treatment, assuming correct specification of an underlying causal model for the effect of treatment and a parametric model for the expected treatment.

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