Suresh Karthik, Thomas Sanjeev V, Suresh Geetha
Department of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Trivandrum, India.
Ann Indian Acad Neurol. 2011 Oct;14(4):287-90. doi: 10.4103/0972-2327.91951.
Statistical analysis is an essential technique that enables a medical research practitioner to draw meaningful inference from their data analysis. Improper application of study design and data analysis may render insufficient and improper results and conclusion. Converting a medical problem into a statistical hypothesis with appropriate methodological and logical design and then back-translating the statistical results into relevant medical knowledge is a real challenge. This article explains various sampling methods that can be appropriately used in medical research with different scenarios and challenges.
统计分析是一项重要技术，它能使医学研究从业者从数据分析中得出有意义的推论。研究设计和数据分析的不当应用可能会导致结果和结论不充分且不恰当。将医学问题转化为具有适当方法和逻辑设计的统计假设，然后再将统计结果反向转化为相关医学知识，这是一项真正的挑战。本文解释了在不同场景和挑战下可适用于医学研究的各种抽样方法。
