The implementation of research studies is a highly complex process. All decisions with respect to the study design impact the statistical analyses and interpretation of the results. Within the ICare research project (EU H2020 Grant agreement 634757) seven research trials are conducted to generate evidence on efficacy, effectiveness and the dissemination potential of online interventions targeting eating disorders, common mental health problems and resilience. Within the project a central biometrical unit was established to manage and coordinate data collection, processing and statistical data analysis. This allows for harmonized trial planning, conduct, data management processes and analysis strategies. The purpose of this article is to describe the common concepts underlying all seven ICare trials. This includes development of (adaptive sequential) study designs, handling of missing values, general data management and processing as well as data protection aspects.

中文翻译：

---

在 ICare 中实施在线干预：生物统计学视角。

研究的实施是一个非常复杂的过程。有关研究设计的所有决定都会影响结果的统计分析和解释。在 ICare 研究项目（欧盟 H2020 拨款协议 634757）内进行了七项研究试验，以生成针对饮食失调、常见心理健康问题和复原力的在线干预措施的功效、有效性和传播潜力的证据。该项目设立了一个中央生物识别单元来管理和协调数据收集、处理和统计数据分析。这允许协调试验计划、实施、数据管理流程和分析策略。本文的目的是描述所有七个 ICare 试验的共同概念。这包括（自适应序贯）研究设计的开发、缺失值的处理、一般数据管理和处理以及数据保护方面。