Description

Book Synopsis

1 Why R is essential? What are the prospects by learning R?.- 2 An overview of statistical analysis plan for clinical studies.- 3 Introduction to R environment and basic commands.- 4 Data handling and manipulation in R with Descriptive Statistics.- 5 Introduction to packages in R installation, loading, unloading and deletion.- 6 Visualisation of data basic and advanced.- 7 Inferential statistics for the hypothesis testing of parametrically distributed data.- 8 Inferential statistics for the hypothesis testing of  non-parametric data.- 9 Computation of sample size for clinical studies.- 10 Correlation and linear regression analysis for continuous outcome.- 11 Logistic regression analysis for categorical outcome.- 12 Receiver Operating Characteristic (ROC) curve analysis for diagnostic studies.- 13 Survival analysis for time to event-based outcome.- 14 Conducting randomization in clinical trials.- 15 Development of web-based interactive servers using R shiny package.

R for Basic Biostatistics in Medical Research

    Product form

    A Hardback by Anand Srinivasan

    £161.99

    Includes FREE delivery

    RRP £179.99 – you save £18.00 (10%)

    Order before 4pm tomorrow for delivery by Tue 3 Nov 2026.

    Out of stock

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of R for Basic Biostatistics in Medical Research by Anand Srinivasan

      Book details

      Publisher Springer
      Published 1 October 2025
      ISBN-13 9789819769797
      978-9819769797
      ISBN-10 9819769795
      Also in:
      Probability and statistics

      Description

      Book Synopsis

      1 Why R is essential? What are the prospects by learning R?.- 2 An overview of statistical analysis plan for clinical studies.- 3 Introduction to R environment and basic commands.- 4 Data handling and manipulation in R with Descriptive Statistics.- 5 Introduction to packages in R installation, loading, unloading and deletion.- 6 Visualisation of data basic and advanced.- 7 Inferential statistics for the hypothesis testing of parametrically distributed data.- 8 Inferential statistics for the hypothesis testing of  non-parametric data.- 9 Computation of sample size for clinical studies.- 10 Correlation and linear regression analysis for continuous outcome.- 11 Logistic regression analysis for categorical outcome.- 12 Receiver Operating Characteristic (ROC) curve analysis for diagnostic studies.- 13 Survival analysis for time to event-based outcome.- 14 Conducting randomization in clinical trials.- 15 Development of web-based interactive servers using R shiny package.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account