rpsftm: An R Package for Rank Preserving Structural Failure Time Models.
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Publication Date
2017-12-04Journal Title
R J
ISSN
2073-4859
Publisher
The R Foundation
Volume
9
Issue
2
Pages
342-353
Language
eng
Type
Article
This Version
AM
Physical Medium
Print
Metadata
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Allison, A., White, I. R., & Bond, S. (2017). rpsftm: An R Package for Rank Preserving Structural Failure Time Models.. R J, 9 (2), 342-353. https://doi.org/10.32614/rj-2017-068
Abstract
Treatment switching in a randomised controlled trial occurs when participants change from their randomised treatment to the other trial treatment during the study. Failure to account for treatment switching in the analysis (i.e. by performing a standard intention-to-treat analysis) can lead to biased estimates of treatment efficacy. The rank preserving structural failure time model (RPSFTM) is a method used to adjust for treatment switching in trials with survival outcomes. The RPSFTM is due to Robins and Tsiatis (1991) and has been developed by White et al. (1997, 1999). The method is randomisation based and uses only the randomised treatment group, observed event times, and treatment history in order to estimate a causal treatment effect. The treatment effect, ψ, is estimated by balancing counter-factual event times (that would be observed if no treatment were received) between treatment groups. G-estimation is used to find the value of ψ such that a test statistic Z(ψ) = 0. This is usually the test statistic used in the intention-to-treat analysis, for example, the log rank test statistic. We present an R package that implements the method of rpsftm.
Identifiers
External DOI: https://doi.org/10.32614/rj-2017-068
This record's URL: https://www.repository.cam.ac.uk/handle/1810/287242
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