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PharmacoEconomics

, Volume 36, Issue 10, pp 1297–1297 | Cite as

Comment on: Sensitivity Analysis for Not-at-Random Missing Data in Trial-Based Cost-Effectiveness Analysis: A Tutorial

  • Baptiste Leurent
  • Manuel Gomes
  • James Carpenter
Letter to the Editor

Dear Editor in Chief,

We recently published a tutorial on sensitivity analysis for missing data in cost-effectiveness analysis [1]. We would like to inform the interested readers about the publication of the Stata [2] program and data files to complement this tutorial [3]. These files should help the reader to better understand and apply the proposed sensitivity analysis approach. The folder contains four Stata ‘do-files’, corresponding to the different sections of the article, and one illustrative dataset, based on the 10 Top Tips (10TT) trial considered in the tutorial. We hope this will be a useful addition to the tutorial.

Notes

Compliance with Ethical Standards

Funding

BL is funded by the National Institute for Health Research (DRF-12437).

Conflict of interest

BL, MG and JC have no conflict of interest related to this letter.

References

  1. 1.
    Leurent B, Gomes M, Faria R, Morris S, Grieve R, Carpenter JR. Sensitivity analysis for not-at-random missing data in trial-based cost-effectiveness analysis: a tutorial. Pharmacoeconomics. 2018;36:889–901.  https://doi.org/10.1007/s40273-018-0650-5.CrossRefPubMedPubMedCentralGoogle Scholar
  2. 2.
    StataCorp. Stata statistical software: release 15. College Station: StataCorp LLC; 2017.Google Scholar
  3. 3.
    Leurent B, Gomes M, Faria R, Morris S, Grieve R, Carpenter JR. Sensitivity analysis for missing data in cost-effectiveness analysis: Stata code. Figshare. 2018.  https://doi.org/10.6084/m9.figshare.6714206.v1.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Department of Medical StatisticsLondon School of Hygiene and Tropical MedicineLondonUK
  2. 2.Department of Applied Health ResearchUniversity College LondonLondonUK
  3. 3.MRC Clinical Trials Unit at University College LondonLondonUK

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