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Statistical Analysis of Genetic Data

In: Statistics Applied to Clinical Trials

Author

Listed:
  • Ton J. Cleophas

    (European Interuniversity College of Pharmaceutical Medicine Lyon
    Albert Schweitzer Hospital, Department Medicine)

  • Aeilko H. Zwinderman

    (Academic Medical Center Amsterdam, Department Biostatistics and Epidemiology)

  • Toine F. Cleophas

    (Technical University)

Abstract

In 1860, the benchmark experiments of the monk Gregor Mendel led him to propose the existence of genes. The results of Mendel’s pea data were astoundingly close to those predicted by his theory. When we recently looked into Mendel’s pea data and performed a chi-square test, we had to conclude the the chi-square value was too small not to reject the null-hypothesis. this would mean that Mendel’s reported data were so close to what he expected that we could only conclude that he had somewhat fudged the data (Table 1).

Suggested Citation

  • Ton J. Cleophas & Aeilko H. Zwinderman & Toine F. Cleophas, 2006. "Statistical Analysis of Genetic Data," Springer Books, in: Statistics Applied to Clinical Trials, chapter 0, pages 261-269, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4020-4650-6_23
    DOI: 10.1007/978-1-4020-4650-6_23
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