临床研究中的生物统计学综述

Aneesha Chatla, B. Neela, C. S. Mujeebuddin, V. Raj
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引用次数: 0

摘要

统计学是一门收集、组织、分析、解释和呈现数据的学科,是解释、描述和比较的基础。在临床试验和药物开发过程中,从试验设计到方案开发,统计学起着关键作用。通过提供对统计问题的基本理解,可以维护临床试验的可信度,加强医生和统计学家之间的合作。在临床研究的任何阶段,包括试验设计、程序开发、数据管理和跟踪、数据处理和临床试验报告,都涉及到生物统计学。统计学家还在制定假设、制定统计分析计划(SAP)、选择适当的测试、选择合适的样本量、收集数据、执行测试、生成tlg(表、清单和图表)和报告推论等方面发挥作用。重要的是,研究小组的其他成员认识到生物统计学家提出的统计方法,因为统计学家可以专门研究设计,治疗领域和统计方法。
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BIOSTATISTICS IN CLINICAL RESEARCH: A REVIEW
Statistics is the discipline concerning collection, organizing, analyzing, interpretation and presentation of data as the basis for explanation, description and comparison. In clinical trials and in the drug development process, statistics play a key role, from trial design to protocol development. The credibility of a clinical trial can be upheld and cooperation between physicians and statisticians can be strengthened by providing a fundamental understanding of statistical issues. In any phase of clinical research, including trial design, development of procedures, data management and tracking, data processing, and reporting of clinical trials, biostatistics are involved. Statisticians also have roles in formulate hypothesis, develop statistical analysis plan (SAP), choosing the appropriate test, choose an apt sample size, data collection, perform the tests, generating TLGs (tables, listings, and graphs) and reporting the inferences. It is important that the rest of the research team recognizes the statistical approach suggested by the biostatistician, because statisticians can specialize in study designs, therapeutic areas and statistical methods.
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