We present the motivation, experience and learnings from a data challenge conducted at a large pharmaceutical corporation on the topic of subgroup identification. The data challenge aimed at exploring approaches to subgroup identification for future clinical trials. To mimic a realistic setting, participants had access to 4 Phase III clinical trials to derive a subgroup and predict its treatment effect on a future study not accessible to challenge participants. 30 teams registered for the challenge with around 100 participants, primarily from Biostatistics organisation. We outline the motivation for running the challenge, the challenge rules and logistics. Finally, we present the results of the challenge, the participant feedback as well as the learnings, and how these learnings can be translated into statistical practice.

翻译：我们介绍了一家大型制药公司在亚组识别方面展开的数据挑战，同时分享了挑战的动机、经验和教训。该数据挑战旨在探索亚组识别方法，以应对未来临床试验。为了模拟真实案例，参与者可以访问四个III期临床试验的数据，从而确定一个子组，预测其在未来挑战参与者无法访问的研究中的治疗效果。30个团队共约100名参赛者注册参与，其中主要来自生物统计学组织。我们概述了举行挑战的动机、规则和后勤管理。最后，我们呈现了挑战的结果、参与者的反馈以及经验教训，并介绍如何将这些经验教训转化为统计实践中的应用。