Essential R programming for Statistical Analysis: A Step-by-Step Guide to Data Analysis in Medicine and Public Health

Bys: Dr. Jae Hyon Park and Dr. Insun Park

Are you eager to learn R programming but tired of slogging through thick, pricey introductory books that lack clear examples and practical explanations for crafting essential scripts to perform statistical analyses? Spare yourself time and expenses by tapping into the expertise of true R professionals right here in this essential guide. "Essential R Programming for Statistical Analysis" empowers you to master R--the world's most renowned programming language--to execute crucial statistical analyses vital for your research endeavors, particularly when dealing with extensive medical or public health datasets. Learn to save time by avoiding repetitive statistical analyses for different variables using R. With just a few lines of script, you'll be able to generate impactful data summaries and high-quality visualizations ready for immediate use in your scientific papers. Designed for beginners without prior programming experience, "Essential R Programming for Statistical Analysis" uses specific examples to meticulously guide you through each step of diverse statistical analyses. With this book, you'll learn to: Install R and write scripts in RStudio. Import large datasets from Excel directly into R. Execute basic statistical analyses, such as the student t-test, chi-square test, Mann-Whitney U test, and more. Easily create summary tables using a few lines of R script. Create impactful visualizations and figures. Perform univariable and multivariable logistic regression analyses. Master advanced analyses including receiver operating characteristic (ROC) curve analysis, survival analysis using Kaplan-Meier curves, and the Cox proportional hazards model. Perform propensity score matching for sophisticated analyses. This book serves as your comprehensive resource, accelerating your journey to mastery of the R programming language. Experience newfound freedom as you adeptly handle data and execute a myriad of statistical analyses. Immerse yourself in essential knowledge that elucidates every aspect, from detailed explanations and sample datasets to invaluable tips that circumvent pitfalls often overlooked by other resources. Elevate your data analysis capabilities to unprecedented heights through "Essential R Programming for Statistical Analysis."

• Format: Paperback
• Language: English
• ISBN: B0CGXNMD8X
• ISBN13: 9798859340934
• Release Date: August 2023
• Publisher: Independently published
• Length: 153 Pages
• Weight: 0.64 lbs.
• Dimensions: 9.0" x 0.3" x 6.0"