gms | German Medical Science

65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS)

06.09. - 09.09.2020, Berlin (online conference)

Weighted pseudo-values for partly unobserved group membership in stem cell transplantation studies

Meeting Abstract

  • Martina Mittlböck - CeMSIIS, Medical University of Vienna, Vienna, Austria
  • Ulrike Pötschger - Children's Cancer Research Institute, Vienna, Austria
  • Harald Heinzl - CeMSIIS, Medical University of Vienna, Vienna, Austria

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie. 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS). Berlin, 06.-09.09.2020. Düsseldorf: German Medical Science GMS Publishing House; 2021. DocAbstr. 365

doi: 10.3205/20gmds318, urn:nbn:de:0183-20gmds3183

Published: February 26, 2021

© 2021 Mittlböck et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.


Outline

Text

Studying paediatric leukaemia patients with and without available stem cell donors enables to compare the efficacy of stem cell transplantation with chemotherapy. Since donor search is expensive and takes time, a patient's donor availability status becomes known either when a donor is identified or when no donor is found after extensive searching.Donor availability remains unknown when donor search is cancelled for both cost and ethical reasons. This usually happens in case of premature death and when stem cell transplantation is no longer considered a suitable treatment option (e.g. after a relapse). Technically, donor availability status can be considered as a partly unobserved, external, binary time-dependent covariate. The statistical situation becomes even more challenging due to non-proportional hazards resulting from an increased post-transplantation mortality that vanishes over time.

The generalised pseudo-values approach is able to correctly address these issues and enable an unbiased treatment comparison. However, calculations are time-consuming due to a necessary bootstrap step. A faster alternative approach is suggested which is based on weighting of common pseudo-values and does not require resampling.

Both approaches are compared by a simulation study where they show similarly satisfactory behaviour with respect to confidence interval coverage and type I errors. A real data example is presented and analysed to illustrate and discuss both approaches.

The authors declare that they have no competing interests.

The authors declare that an ethics committee vote is not required.


References

1.
Pötschger U, Heinzl H, Valsecchi MG, Mittlböck M. Assessing the effect of a partly unobserved, exogenous, binary time-dependent covariate on survival probabilities using generalised pseudo-values. BMC Medical Research Methodology. 2018;18(1):14.
2.
Balduzzi A, Valsecchi MG, Uderzo C, et al. Chemotherapy versus allogeneic transplantation for very-high-risk childhood acute lymphoblastic leukaemia in first complete remission: comparison by genetic randomisation in an international prospective study. Lancet. 2005;366(9486):635-642.