A dataset containing survival outcome and predictors on 694 patients who received hematopoietic stem cell transplant.
A data frame with 694 rows and 11 variables. Each row describes the data from a single patient. The below described variables are included in the data file. Missing observations are present in the variables performance status(9%), remission status (6%) and cytogenic abnormality (25%).
record identification number
age at transplantation
performance status indicated by the Karnofsky Index (four categories)
remission status at transplantation (three categories)
cytogenetic abnormalities (four categories)
previous autologous transplantation (two categories)
donor type (three categories)
patient-donor sex match (four categories)
conditioning regimen (three categories)
overall survival (OS) up to five years after first allogeneic stem cell transplantation
censoring indicator (0=alive at end follow-up, 1=dead)
European Society for Blood and Marrow Transplantation (EBMT). https://www.ebmt.org
Please reference the following papers when using this data. Schetelig, J. et al. (2017) Risk factors for treatment failure after allogeneic transplantation of patients with CLL: a report from the European Society for Blood and Marrow Transplantation. Bone Marrow Transplantation, 52, 552-560. Schetelig, J. et al. (2017) Centre characteristics and procedure-related factors have an impact on outcomes of allogeneic transplantation for patients with CLL: a retrospective analysis from the European Society for Blood and Marrow Transplantation (EBMT). British Journal of Haematology, 178, 521-533. Mertens, B.J.A. et al. (2019) Construction and assessment of prediction rules for binary outcome in the presence of missing predictor data using multiple imputation and cross-validation: theoretical perspective and data-based evaluation. Biometrical Journal. See ArXiv for an early version https://arxiv.org/abs/1810.05099. We thank EBMT and DKMS for their work in collecting and preparing the CLL data and for approval to share the data.
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