Indrayan A
Department of Clinical Research, Max Healthcare, New Delhi, India.
J Postgrad Med. 2024 Oct 1;70(4):227-231. doi: 10.4103/jpgm.jpgm_607_24. Epub 2024 Dec 11.
Medical research is costly and requires significant effort. While intracellular research hardly follows a formal design, most data-based studies require a structural approach for optimal utilization of resources. Depending on the study's objectives and available resources, as well as the aim to obtain valid and reliable results, the design may be descriptive, employing specific sampling strategies, or analytical, exploring antecedent-outcome relationships. Analytical studies often involve designs such as randomization and blinding in clinical trials, and may use prospective, retrospective, or cross-sectional designs in observational studies. This first article in the series on biostatistics methods specifies the essential features of each design and describes the contexts in which they are most appropriate.
医学研究成本高昂且需要付出巨大努力。虽然细胞内研究几乎没有遵循正式设计,但大多数基于数据的研究需要一种结构化方法来优化资源利用。根据研究目标、可用资源以及获得有效可靠结果的目标,设计可能是描述性的,采用特定抽样策略,或者是分析性的,探索前因后果关系。分析性研究通常涉及临床试验中的随机化和盲法等设计,并且在观察性研究中可能使用前瞻性、回顾性或横断面设计。本系列关于生物统计学方法的第一篇文章详细说明了每种设计的基本特征,并描述了它们最适用的情境。