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在估价不同疗法对恶性疾病或其他慢性疾病疗效时,生存率比较有时会导致错误结论。因而由一个流行病学队列分析资料建立了非参数生存函数,绘制出生存折线及其95%的Alderson置信带。求出队列半数生存期(hlc)及其95%的置信限。以hlc作为评价统计学指标可以获得确切的结论,避免了生存率比较的缺点。在卫生学中,hlc拟用于估计寿命。在流行病学队列分析中,拟用于描述恶性疾病对寿命的影响,评价疗效和预防效果等。
In evaluating the efficacy of different therapies for malignant disease or other chronic diseases, survival comparisons sometimes lead to erroneous conclusions. Therefore, a non-parametric survival function was established from an epidemiological cohort analysis data, and the survival polyline and its 95% Alderson confidence band were drawn. Find the queue half-life (hlc) and its 95% confidence limit. The exact conclusion can be obtained by using hlc as the evaluation index to avoid the shortcomings of the comparison of survival rates. In hygiene, hlc is intended to estimate life expectancy. In epidemiological cohort analysis, it is intended to describe the impact of malignant diseases on longevity, evaluate efficacy, and preventative effects.