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Allison A, White IR, Bond S. rpsftm: An R Package for Rank Preserving Structural Failure Time Models. R J. 2017;9(2):342-353
Allison, A., White, I. R., & Bond, S. (2017). rpsftm: An R Package for Rank Preserving Structural Failure Time Models. The R journal, 9(2), 342-353.
Allison, Annabel, et al. "rpsftm: An R Package for Rank Preserving Structural Failure Time Models." The R journal vol. 9,2 (2017): 342-353.
Allison A, White IR, Bond S. rpsftm: An R Package for Rank Preserving Structural Failure Time Models. R J. 2017 Dec 04;9(2):342-353. PMID: 29564164; PMCID: PMC5858764.
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R J. 2017 Dec 04;9(2):342-353.

rpsftm: An R Package for Rank Preserving Structural Failure Time Models.

The R journal

Annabel Allison, Ian R White, Simon Bond

Affiliations

  1. Medical Research Council Biostatistics Unit Forvie Site, Robinson Way, Cambridge, UK.
  2. MRC Clinical Trials Unit at UCL 90 High Holborn, London, UK.
  3. Cambridge Clinical Trials Unit, Cambridge University Hospitals Foundation NHS Trust, Hills Rd, Cambridge UK.

PMID: 29564164 PMCID: PMC5858764

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,

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