2015.06.25
2015年6月25日に久留米大学バイオ統計センター公開セミナーを開催しました。
バイオ統計センター公開セミナー
日時：2015年6月25日（木）15:00-17:00
場所：バイオ統計センター 講義室
講演者：長谷川貴大（塩野義製薬 中央研究所解析センター）
演題：「がんワクチン試験の必要症例数計算」
概要： In recent years, immunological science has evolved,
and cancer vaccines are available for treating existing
cancers. Because cancer vaccines require time to elicit
an immune response, a delayed treatment effect is expected.
Accordingly, the use of weighted log-rank tests with the
Fleming-Harrington class of weights is proposed for
evaluation of survival endpoints. We present a method for
calculating the sample size under assumption of a piecewise
exponential distribution for the cancer vaccine group and
an exponential distribution for the placebo group as the
survival model. The impact of delayed effect timing on both
the choice of the Fleming-Harrington's weights and the
increment in the required number of events is discussed.
参考文献： Hasegawa T. Sample size determination for the weighted
log-rank test with the Fleming?Harrington class of weights in cancer
vaccine studies. Pharmaceutical Statistics 2014; 13(2):128-135.
場所：バイオ統計センター 講義室
講演者：長谷川貴大（塩野義製薬 中央研究所解析センター）
演題：「がんワクチン試験の必要症例数計算」
概要： In recent years, immunological science has evolved,
and cancer vaccines are available for treating existing
cancers. Because cancer vaccines require time to elicit
an immune response, a delayed treatment effect is expected.
Accordingly, the use of weighted log-rank tests with the
Fleming-Harrington class of weights is proposed for
evaluation of survival endpoints. We present a method for
calculating the sample size under assumption of a piecewise
exponential distribution for the cancer vaccine group and
an exponential distribution for the placebo group as the
survival model. The impact of delayed effect timing on both
the choice of the Fleming-Harrington's weights and the
increment in the required number of events is discussed.
参考文献： Hasegawa T. Sample size determination for the weighted
log-rank test with the Fleming?Harrington class of weights in cancer
vaccine studies. Pharmaceutical Statistics 2014; 13(2):128-135.
