Required sample sizes in clinical trials for lung cancer treatment results that the survival-time patterns of patients have lognormality

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  • 生存期間のパターンが対数正規性を示すと思われる肺癌のCIinical Trialに必要な症例数の検討

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Abstract

In this paper the author tried to calculate sample sizes for clinical trials in lung cancer treatment results that the survival-time patterns of patients have lognormality using the Owen's noncentral t-distribution and given following tables.<BR>The table la and lb are given the relation between the expected difference Δμ in logmean and the required sample sizes that should be included in each group of a clinical trial in lung cancer treatment results in oder to have a 90% (β=0.90), 70% (β=0.70) and 50% (β=0.50) probability detecting significant difference (!α=0.05, α=0.01) in results and covered any value of the difference ranging from 0.03 to 0.30 and any value of ranging from 0.30 to 0.50.

Journal

  • Haigan

    Haigan 14 (2), 79-82, 1974

    The Japan Lung Cancer Society

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