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 ...

This course covers: What are GLMs? When should we use them? How GLM works. Categorical data analysis, including contingency table analysis, measures of association, tests of independence, tests of ...

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 projects make data science easier to under ...

Using a program like R or SAS becomes the best option in these cases. The key to successful coding in R (and SAS) means being comfortable with reading the help files. So for this talk we are going to ...

UPDATE: Thanks to community (i.e. your!) participation, this R piece is going to be part of the "Names You Need to Know" feature in a December issue of Forbes Magazine. We're looking for ...

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 ...

Random factor analysis is a statistical technique to decipher whether outlying data is caused by an underlying trend or just simply a random event.