Chapter 2
Biostatistics: Introduction
生物統計学: 概要
Biostatistics is the application of statistical methods to analyze data by conducting experiments to gather evidence and drawing conclusions based on ...
データ: 種類と分布
In biostatistics, data refers to the collected observations that are subject to analysis. Data can be parametric or nonparametric.
Nonparametric data ...
中心傾向: 分析
Measures of central tendency are descriptive statistical tools that describe the average or center of a data set.
These include mean, median, mode, and ...
データ: 変動性: 分析
Measures of variability are vital in biostatistics for describing a dataset's dispersions and highlighting deviations between individual data points.
...
統計的仮説検定
A hypothesis is a proposed explanation or assumption about a population parameter that serves as the basis for testing and analysis.
The null hypothesis, ...
仮説検定における精度と誤差
A hypothesis test starts with the assumption that the null hypothesis is true.
Two types of errors can occur in a hypothesis test. Type I error is the ...
パラメトリックデータを分析するための統計的手法: ANOVA
ANOVA, or Analysis of Variance, analyzes parametric statistical data by comparing means among multiple groups to determine their statistical ...
パラメトリックデータを分析するための統計的手法: ANOVA
The Student t-test examines if there is a significant difference between the means of two groups.
It is suitable for data that follows a normal ...
仮説検定における統計的推論手法: パラメトリックデータとノンパラメトリックデータ
Parametric statistical methods, like the Student t-test or goodness-of-fit test, assume that data follows a specific distribution, enabling robust ...
バイオ医薬品研究: 臨床研究の基本
Biopharmaceutical studies aim to study drug delivery and improved therapies using interdisciplinary knowledge.
Non-controlled studies, often used for ...
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