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首页> 外文期刊>International Journal of Cardiology >Rate ratio for mortality by Poisson's regression analysis: Limitation on predictive ability for the individual events
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Rate ratio for mortality by Poisson's regression analysis: Limitation on predictive ability for the individual events

机译:泊松回归分析的死亡率比率:对单个事件的预测能力的限制

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摘要

Ohsawa et al. reported that middle-aged subjects with preserved glomerular filtration rate (GFR) and albuminuria had risks of all-cause, cardiovascular disease (CVD) and neoplasm-related disease (NPD) mortalities in a cohort of 5.6-year follow-up on average [1]. Patients with a history of myocardial infarction or stroke were excluded for their analysis, and the authors calculated rate ratios (RRs) using Poisson's regression analysis. During the follow-up periods, 304 deaths, including deaths by 57 CVD and by 152 NPD, were observed. I have some concerns on their statistical outcomes.First concern is the number of events in their study, which had been mentioned by the authors. They first used 10 variables for the adjustment, and 5 additional variables were used for the adjustment by using albuminuria and estimated glomerular filtration rate. Multiple regression analysis requires at least 10 individuals per independent variable [2], and in the case of CVD in their study, estimate of rate ratio becomes unstable with wide range of 95% confidence interval. To keep stable estimation of rate ratio, the authors should continue their follow-up study.
机译:大泽等。报道称,在平均5.6年的随访研究中,保留肾小球滤过率(GFR)和白蛋白尿的中年受试者有全因,心血管疾病(CVD)和肿瘤相关疾病(NPD)死亡率的风险[ 1]。具有心肌梗塞或中风病史的患者被排除在分析之外,作者使用泊松回归分析计算了比率(RR)。在随访期间,观察到304例死亡,包括57例CVD和152例NPD导致的死亡。我对他们的统计结果有些担忧。首先要关注的是他们研究中的事件数量,作者已经提到过。他们首先使用10个变量进行调整,另外5个其他变量通过使用蛋白尿和估计的肾小球滤过率进行调整。多元回归分析的每个独立变量至少需要10个人[2],在他们的研究中,使用CVD时,比率比率的估计在95%置信区间的宽范围内变得不稳定。为了保持稳定的比率估算,作者应继续进行后续研究。

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