| Literature DB >> 23225539 |
Wei Yang1, Kathleen J Propert, J Richard Landis.
Abstract
We are motivated by a randomized clinical trial evaluating the efficacy of amitriptyline for the treatment of interstitial cystitis and painful bladder syndrome in treatment-naïve patients. In the trial, both the non-adherence rate and the rate of loss to follow-up are fairly high. To estimate the effect of the treatment received on the outcome, we use the generalized structural mean model (GSMM), originally proposed to deal with non-adherence, to adjust for both non-adherence and loss to follow-up. In the model, loss to follow-up is handled by weighting the estimation equations for GSMM with one over the probability of not being lost to follow-up, estimated using a logistic regression model. We re-analyzed the data from the trial and found a possible benefit of amitriptyline when administered at a high-dose level.Entities:
Keywords: causal inference; inverse probability weighting; loss to follow-up; non-adherence; structural mean model
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Year: 2012 PMID: 23225539 PMCID: PMC3868645 DOI: 10.1002/sim.5702
Source DB: PubMed Journal: Stat Med ISSN: 0277-6715 Impact factor: 2.373