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Multicentre study desing in survival analysis

机译:生存分析中的多中心研究设计

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Survival analysis is an important part of medical statistics or for the study of failures in mechanical systems. The latter is called reliability analysis in engineering. This paper addresses the survival analysis in medical research. In this context of medical research, the survival analysis is frequently used to define prognostic indices for survival or recurrence of a disease, and to study outcome of treatment. Within the broader domain of medical survival analysis or more specifically for the study of patients with cancer disease, there are a number of clinical/prognostic techniques developed over the last half of century in many research groups, universities and hospitals around the globe. Despite numerous publications on each of these techniques, there is still a need of evaluating the numerical outputs of the different prognostic algorithms on identical medical datasets. Hence the need to benchmark the mathematical algorithms against the available medical and other cancer datasets held by various research groups from universities or hospitals. The main scope of a benchmark process is to specifically inform and to provide prognostic advice and choice of post-operative adjuvant therapy. It is also essential to define data acquisition protocols, to create the necessary databases on which the benchmarked methodologies can be tested. In case there are several research groups which are taking part in a benchmark study, then they form a multicentre study. This paper presents the steps to be followed in order to realize such a multicentre study.
机译:生存分析是医学统计数据的重要组成部分,或研究机械系统中的故障。后者称为工程中的可靠性分析。本文涉及医学研究的生存分析。在这种医学研究的背景下,存活分析经常用于定义疾病的存活或复发的预后索引,并研究治疗结果。在更广泛的医学生存分析领域中或更具体地用于研究癌症疾病的患者,在全世纪中发生了许多研究组,全球大学和医院的临床/预后技术。尽管对这些技术中的每一种具有许多出版物,但仍然需要评估在相同的医疗数据集上的不同预后算法的数值输出。因此,需要对来自大学或医院持有的各种研究小组持有的可用医疗和其他癌症数据集的数学算法基准。基准进程的主要范围是专门告知和提供术后辅助治疗的预后建议和选择。定义数据采集协议也是必要的,以创建可以测试基准方法的必要数据库。如果有几个研究组在基准研究中参与其中,那么它们形成了多长期的研究。本文介绍了遵循的步骤,以实现这种多期中心的研究。

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