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统计分析文献翻译样例

发布者:鑫达医学翻译 发布时间:2013-05-23阅读:

原文:

To have 90% power to detect a reduction in frequency of the primary endpoint from 80% in the supportive treatment group to 40% in the immunosuppression groups with p<0•05, we calculated that 35 patients would be needed in each group (105 in total). After allowing for an estimated dropout rate of 10%, we concluded that we needed to recruit 116 patients.

Primary analysis followed the principles of intention to treat, and secondary analysis assessed all patients who received at least one dose of treatment. Unless otherwise stated, p values and estimates of treatment effects are based on two-way comparisons. We did not make adjustments for multiple comparisons. We analysed time to further 20% decline in renal function by the logrank test and calculated hazard ratios [HRs] with Cox proportional hazards regression. We used the log-rank test for other survival endpoints, and repeated measures analysis of variance for continuous longitudinal data (eg, proteinuria). We analysed serious adverse event data with the log-rank test on the basis of time to first serious adverse event. We did statistical analyses using SAS software (version 9.2).

 

 

译文:

为获得90%的统计学效力,测定支持治疗组主要终点频率降低自80%降至支持治疗组联合免疫抑制药物组的40%(P < 0.05),我们计算得出每组至少征入35名患者,三组共计105名患者。 考虑研究期间可能有10%的患者退出研究,我们需要征入116名患者。

进行主要分析时遵循意向治疗的原则,对至少接受一项治疗的患者进行次级分析评价。除非有特别说明,否则P值及疗效评价均采用双尾检验进行。本研究,未对多重比较进行调整。 采用时序检测分析肾功能降低高于20%所需的时间,并通过Cox相对危险回归法计算危害比(HR)。采用时序检验分析其他存活终点,纵向数据(如蛋白尿)采用重复方差分析实施分析。 采用时序检验分析严重不良事件数据,以首次出现严重不良事件的时间为基础。采用SAS 9.2版本进行统计学分析

 

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