eBook
View in EDS

Practical Statistics in Medicine with R : Understanding Fundamental Concepts Through Examples

Bibliographic Details
Title: Practical Statistics in Medicine with R : Understanding Fundamental Concepts Through Examples
Description: 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).
Authors: Konstantinos I. Bougioukas
Resource Type: eBook.
Subjects: Medical statistics--Computer programs, R (Computer program language)
Categories: MATHEMATICS / Probability & Statistics / General, MEDICAL / Evidence-Based Medicine
Database: eBook Index
FullText Text:
  Availability: 0
Header DbId: edsebk
DbLabel: eBook Index
An: 4371650
RelevancyScore: 987
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 987.310668945313
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Practical Statistics in Medicine with R : Understanding Fundamental Concepts Through Examples
– Name: Abstract
  Label: Description
  Group: Ab
  Data: 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).
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Konstantinos+I%2E+Bougioukas%22">Konstantinos I. Bougioukas</searchLink>
– Name: TypePub
  Label: Resource Type
  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Medical+statistics--Computer+programs%22">Medical statistics--Computer programs</searchLink><br /><searchLink fieldCode="DE" term="%22R+%28Computer+program+language%29%22">R (Computer program language)</searchLink>
– Name: SubjectBISAC
  Label: Categories
  Group: Su
  Data: <searchLink fieldCode="ZK" term="%22MATHEMATICS+%2F+Probability+%26+Statistics+%2F+General%22">MATHEMATICS / Probability & Statistics / General</searchLink><br /><searchLink fieldCode="ZK" term="%22MEDICAL+%2F+Evidence-Based+Medicine%22">MEDICAL / Evidence-Based Medicine</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=4371650
RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 610.21
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Medical statistics--Computer programs
        Type: general
      – SubjectFull: R (Computer program language)
        Type: general
    Titles:
      – TitleFull: Practical Statistics in Medicine with R : Understanding Fundamental Concepts Through Examples
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Konstantinos I. Bougioukas
      – PersonEntity:
          Name:
            NameFull: Konstantinos I. Bougioukas
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2026
            – D: 22
              M: 06
              Type: profile
              Y: 2026
          Identifiers:
            – Type: isbn-print
              Value: 9781032600581
            – Type: isbn-print
              Value: 9781032602080
            – Type: isbn-electronic
              Value: 9781003458098
            – Type: isbn-electronic
              Value: 9781040494233
            – Type: isbn-electronic
              Value: 9781040731932
          Titles:
            – TitleFull: Practical Statistics in Medicine with R : Understanding Fundamental Concepts Through Examples
              Type: main
ResultId 1