As an example of competing risk analysis in R, we analyze data from 35 patients with acute leukaemia who underwent HSCT. We estimate the cumulative risk of relapse and TRM.

Overview Beginner-friendly books simplify Python, R, statistics, and machine learning concepts.Practical examples and ...

Abstract R is an open-source programming language and environment with powerful and extensive features for data analysis, data visualization, and statistical computing. Although R first appeared in ...

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in.

In today's data-driven world, statistical analysis plays a critical role in uncovering insights, validating hypotheses, and driving decision-making across industries. R, a powerful programming ...

Longitudinal panel data examples are used to illustrate estimation methods for individual growth curve models. These examples constitute one of the basic multilevel analysis settings, and they are ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

What Are Data Analysis Skills? Quantitative and Qualitative Examples Combining quantitative and qualitative data skills allows you to make informed, balanced decisions by understanding both the ...