Statistical Methods in HCT and Cellular Therapies

Springer eBooks, pp. 49–54

Abstract

Abstract The analysis of data describing the outcomes of patients who have received an HCT is not only fundamental to assessing the effectiveness of the treatment but can provide invaluable information on the prognostic role of disease and patient factors. Thus, the appropriate analysis and understanding of such data are of paramount importance. This document provides an overview of the main and well-established statistical methods, as well as a brief introduction of more novel techniques. More insight is provided in theEBMT Statistical Guidelines(Iacobelli 2013). Additionally, the paper by de Wreede et al. (2022) explains the most important concepts and related pitfalls in the analysis of HCT studies.

Authors 2

1. Simona Iacobelli corresponding Aachen

   University of Rome Tor Vergata · European Society for Blood and Marrow Transplantation

   Affiliation as printed

   Department of Biology, University of Rome Tor Vergata, Rome, Italy

   EBMT, Leiden, The Netherlands

2. Liesbeth C. de Wreede Aachen Department of Biomedical Data Sciences

   Leiden University Medical Center · Deutsche Knochenmarkspenderdatei

   Affiliation as printed

   DKMS Clinical Trials Unit, Dresden, Germany

   Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands