首页> 外文期刊>Statistics in medicine >Comments on 'Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond' by M. J. Pencina, R. B. D'Agostino Sr, R. B. D'Agostino Jr, R. S. Vasan, Statistics in Medicine (DOI: 10.1002/sim.2929).
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Comments on 'Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond' by M. J. Pencina, R. B. D'Agostino Sr, R. B. D'Agostino Jr, R. S. Vasan, Statistics in Medicine (DOI: 10.1002/sim.2929).

机译:MJ Pencina,RB D'Agostino Sr,RB D'Agostino Jr,RS Vasan,医学统计(DOI:10.1002)对“评估新标记的附加预测能力:从ROC曲线下的区域到重新分类及以后”的评论/sim.2929)。

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In 1998,I co-authored an editorial [1] that identified three major problems related to cardiovascular risk assessment and risk reduction: (a) measurement of risk factors and collection of clinical data relevant to patient risk; (b) interpretation of risk-related data with estimation of risk in absolute terms (e.g. risk of an event per year) as well as relative terms (i.e. low, intermediate, or high compared with others of the same age and sex); and (c) on the basis of risk estimation results, intervention to minimize disease risk or to prevent risk factor development in the future. We noted that problems existed in each of these critical steps, and called for further research in each of these areas to achieve better control of cardiovascular risk factors in the clinical setting. Since the editorial appeared, much work has focused on the second of the three issues above-improvements in the statistical assessment and interpretation of risk. The article by Pencina and colleagues in this issue [2] contributes to this area and is a definite step forward in the assessment of new risk factors. It remains to be seen, of course, whether it can have an impact on either of the other two steps, each of which remains highly important for the clinical application of the new statistical approach.
机译:1998年,我与他人合着了一篇社论[1],指出了与心血管疾病风险评估和风险降低有关的三个主要问题: (b)解释与风险有关的数据,并以绝对值(例如,每年发生某事件的风险)以及相对值(即,与同年龄和性别的其他人相比处于低,中或高)估算风险; (c)根据风险估计结果,采取干预措施以最大程度地降低疾病风险或防止将来发展风险因素。我们注意到在每个关键步骤中都存在问题,并呼吁在每个领域中进行进一步研究,以在临床环境中更好地控制心血管危险因素。自社论发表以来,许多工作都集中在统计评估和风险解释方面超出改进的三个问题中的第二个。 Pencina及其同事在此问题上的文章[2]对此领域做出了贡献,并且在评估新的风险因素方面迈出了明确的一步。当然,它是否会对其他两个步骤中的任何一个产生影响,还有待观察,每个步骤对于新统计方法的临床应用仍然非常重要。

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