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Statistical methods for the analysis and presentation of the results of bone marrow transplants. Part 2: Regression modeling

Bone Marrow Transplantation volume 28, pages 1001–1011 (2001)Cite this article

Abstract

In this paper, we address methods of multivariate regression. We discuss the value of regression compared to matched pairs analysis, methods of coding variables, basic concepts of the Cox model and interpretation of results of the Cox model. We present methods of handling variables whose effect changes with time. We present methods to check the assumptions of the Cox regression. Finally, and perhaps most importantly, we provide suggestions for presenting the results in clear and thorough tables and graphs.

Bone Marrow Transplantation (2001) 28, 1001–1011.

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Acknowledgements

This research was supported by grant R01-CA54706–07 from the National Cancer Institute.

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Authors and Affiliations

  1. Division of Biostatistics, Medical College of Wisconsin, Milwaukee, WI, USA

    JP Klein & M-J Zhang

  2. IBMTR/ABMTR, Milwaukee, WI, USA

    JP Klein, JD Rizzo & M-J Zhang

  3. Department of Biostatistics, University of Copenhagen, Denmark

    N Keiding

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  1. JP Klein
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  2. JD Rizzo
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  3. M-J Zhang
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  4. N Keiding
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Klein, J., Rizzo, J., Zhang, MJ. et al. Statistical methods for the analysis and presentation of the results of bone marrow transplants. Part 2: Regression modeling. Bone Marrow Transplant 28, 1001–1011 (2001). https://doi.org/10.1038/sj.bmt.1703271

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