Practical Statistics in Medicine with R: Understanding Fundamental Concepts Through Examples
暫譯: 醫學中的實用統計與R：透過範例理解基本概念
Bougioukas, Konstantinos I.
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商品描述
Whether you're new to statistical analysis or looking to enhance your analytical skills with the R programming language, this textbook provides comprehensive and practical guidance for understanding fundamental statistical concepts through healthcare examples in R. It is an ideal resource for students, educators, and healthcare researchers seeking a step-by-step first approach to effectively applying R in the analysis of healthcare data.
Readers are introduced to the fundamentals of base R, along with practical methods for data import, preprocessing, and transformation using functions from standard R packages such as base and stats, as well as pipe-friendly functions from the tidyverse collection of packages. Additionally, a chapter is devoted to visualization fundamentals, providing step-by-step guidance on creating data visualizations using the ggplot2 package and its extensions.
This textbook covers the most common statistical tests (e.g., t-test, one-way ANOVA, chisquare test, correlation, and non-parametric tests) and introduces more specialized analyses (e.g., linear regression, survival analysis, reliability of measurement analysis, diagnostic test accuracy, and ROC analysis) with examples from the biomedical field. Basic mathematical equations for these statistical tests and techniques are provided to enhance understanding. Statistical functions from both Base R and the rstatix add-on package are often presented side by side, fostering engagement and enriching the reader's coding experience. Designed to be self-contained, this textbook does not require any prior experience with the R programming language, though it assumes a basic understanding of mathematics. (Note: Multivariable modeling and advanced statistical techniques are beyond the scope of this introductory textbook.)
商品描述(中文翻譯)
無論您是統計分析的新手，還是希望透過 R 程式語言提升分析技能，本教科書提供了全面且實用的指導，幫助您透過醫療保健範例理解基本的統計概念。這是一本理想的資源，適合尋求逐步學習方法的學生、教育工作者和醫療研究人員，以有效應用 R 進行醫療數據分析。
讀者將接觸到基本 R 的基礎知識，以及使用標準 R 套件（如 base 和 stats）中的函數進行數據導入、預處理和轉換的實用方法，還有來自 tidyverse 套件集合的管道友好函數。此外，還有一章專門介紹視覺化基礎，提供使用 ggplot2 套件及其擴展創建數據視覺化的逐步指導。
本教科書涵蓋了最常見的統計檢定（例如 t 檢定、單因子變異數分析、卡方檢定、相關性及非參數檢定），並介紹了更專門的分析（例如線性回歸、生存分析、測量可靠性分析、診斷測試準確性及 ROC 分析），並提供來自生物醫學領域的範例。為了增強理解，提供了這些統計檢定和技術的基本數學方程式。Base R 和 rstatix 附加套件中的統計函數通常並排呈現，促進互動並豐富讀者的編碼體驗。本教科書設計為自足型，不需要任何 R 程式語言的先前經驗，但假設讀者對數學有基本的理解。（注意：多變量建模和高級統計技術超出了本入門教科書的範疇。）
作者簡介
Konstantinos I. Bougioukas earned his PhD in Biostatistics and Research Methodology from the Faculty of Medicine at Aristotle University of Thessaloniki, Greece, in 2021. He has extensive experience teaching both basic and advanced statistics. He has mentored and guided students and researchers from diverse scientific backgrounds--including mathematics, medicine, biology, psychology, and health policy--in applying statistical methodologies and R programming. As a research methodologist and data analyst, he specializes in evidence synthesis--including systematic reviews and meta-analyses, overviews of reviews, and metaepidemiological studies--as well as advanced data analysis and data visualization techniques. He has authored over 40 peer-reviewed research articles published in high-impact medical journals such as the British Medical Journal (the BMJ), Research Synthesis Methods, and Journal of Clinical Epidemiology. Additionally, he has contributed to the development of three open-source R packages: ccaR, amstar2Vis, and musicolor.
作者簡介(中文翻譯)
Konstantinos I. Bougioukas 於2021年在希臘塞薩洛尼基亞里士多德大學醫學院獲得生物統計學和研究方法論的博士學位。他在教授基礎和進階統計學方面擁有豐富的經驗。他曾指導來自數學、醫學、生物學、心理學和健康政策等多元科學背景的學生和研究人員，幫助他們應用統計方法和 R 程式設計。作為研究方法論專家和數據分析師，他專注於證據綜合，包括系統性回顧和統合分析、回顧的概述以及元流行病學研究，並且擅長進階數據分析和數據視覺化技術。他已發表超過40篇經過同行評審的研究文章，這些文章發表在高影響力的醫學期刊上，如《英國醫學期刊》（British Medical Journal, BMJ）、《研究綜合方法》（Research Synthesis Methods）和《臨床流行病學期刊》（Journal of Clinical Epidemiology）。此外，他還參與了三個開源 R 套件的開發：ccaR、amstar2Vis 和 musicolor。
