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The Basic Application of Biostatistics to Biomedical Science Using R Programming

机译：使用R编程基本应用生物医学对生物医学科学的基础

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摘要

Statistics is defined as the combination of numerous mathematical methods and logic models that are used for appropriate decisions making or judgments that involves uncertainty. However, the expected result could be certain/uncertain. Hence, it can be applied in many areas of life, which includes problem-solving purposes, investigations, and for making scientific conclusions. In biomedicine, the study of statistics is known as biostatistics. It involves the applications of control methods and pathophysiological modeling for data interpretation and presentation. This paper reveals the concept of data analysis as related to biostatistics and its methods which are useful for Statisticians with the use of R programming language. When raw data cannot be interpreted, it is then processed using fundamental statistical tools/methods. Therefore, this paper highlights the statistical methods that are required for a well-processed data and how the methods are applied. The purpose of this paper is to prove the ability to choose the statistical method and test which is suitable for a specific investigation, how to apply the test, and interpret the results using tables and graphs.
机译：统计数据被定义为许多数学方法和逻辑模型的组合，用于适当的决策或涉及不确定性的判断。然而，预期结果可能是某种/不确定的。因此，它可以应用于许多生活领域，包括解决问题的目的，调查和进行科学结论。在Biomedicine中，统计数据的研究称为生物统计学。它涉及控制方法和病理生理学建模的应用进行数据解释和呈现。本文揭示了与生物统计学相关的数据分析的概念及其对统计学人员使用R编程语言有用的方法。当原始数据不能解释时，然后使用基本统计工具/方法处理它。因此，本文突出了良好处理的数据所需的统计方法以及如何应用方法。本文的目的是为了证明选择适用于特定调查的统计方法和测试的能力，如何应用测试，并使用表和图形来解释结果。

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