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Bagge et al. abstract

Please cite this article as follows: Bagge DA, Smirnov BI, Afanasyev BV. The logistic regression model in the statistical justification of the cost of hematopoietic stem cell transplantation. Cell Ther Transplant. 2008;1:e.2008-05-28-003-en. doi:10.3205/ctt2008-05-28-003-en

The logistic regression model in the statistical justification of the cost of hematopoietic stem cell transplantation

Dmitry A. Bagge, Boris I. Smirnov, Boris V. Afanasyev
Abstract

The logistic regression model allows the calculation of the minimal acceptable cost of HCT, having non-random impact on HCT outcome, under which the probability of a positive outcome is 50%. There were 209 patients enrolled in the study, who received autologous HCT, and allogenic related and unrelated HCT. The non-random cost and medical parameters connected with patient status were defined before HCT and HCT outcomes. The application of reduced toxicity (RTCR) or myeloablative conditioning regimens (MCR), the presence of relapse before HCT, and the cost of drugs and blood transfusion all have an influence on the outcome, and the weight coefficients of these parameters were calculated. This allows the connection of costs and clinical parameters, and the calculation of the minimal acceptable cost of HCT.

Keywords: logistic regression model, reduced toxicity conditioning regimens (RTCR), myeloablative conditioning regimens (MCR), cost of drugs, cost of blood transfusion, weight coefficient

Please cite this article as follows: Bagge DA, Smirnov BI, Afanasyev BV. The logistic regression model in the statistical justification of the cost of hematopoietic stem cell transplantation. Cell Ther Transplant. 2008;1:e.2008-05-28-003-en. doi:10.3205/ctt2008-05-28-003-en

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