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Use of Bootstrapping to Evaluate Infrequent Genetic Abnormalities as Prognostic Factors for Survival in Human Acute Leukemias

In: Computing Science and Statistics

Author

Listed:
  • David D. Lawrence

    (Roswell Park Cancer Institute, New York State Department of Health, Department of Medicine)

  • Peter A. Reese

    (Roswell Park Cancer Institute, New York State Department of Health, Department of Biomathematics)

  • Clara D. Bloomfield

    (Roswell Park Cancer Institute, New York State Department of Health, Department of Medicine)

Abstract

The distributional properties of a summary random variable in a two-sample test involving a small group can be investigated through bootstrapping. With data from a prospective Cancer and Leukemia Group B (CALGB 8461) study of the prognostic significance of cytogenetic abnormalities on human acute leukemias, survival data involving an infrequent genetic abnormality was bootstrapped using Cox’s proportional hazards regression model. Eight of 578 cases in the survival analysis exhibited trisomy 13 as the sole cytogenetic abnormality. Although the bootstrap results agree with the classical log-rank test, the distribution of bootstrap regression coefficients deviates from normality (P

Suggested Citation

  • David D. Lawrence & Peter A. Reese & Clara D. Bloomfield, 1992. "Use of Bootstrapping to Evaluate Infrequent Genetic Abnormalities as Prognostic Factors for Survival in Human Acute Leukemias," Springer Books, in: Connie Page & Raoul LePage (ed.), Computing Science and Statistics, pages 425-429, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4612-2856-1_68
    DOI: 10.1007/978-1-4612-2856-1_68
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