This course is designed to introduce the basics of R to the R beginners who are not familiar with R yet and want to start learning R to manipulate and analyze their own data. The course discusses data management, descriptive statistics, Chi-Square test, t-tests, ANOVA, linear regression, logistic regression, and survival analysis concepts with an emphasis on top public health problems in Saudi Arabia. We will provide R analysis examples to help connect the statistical concepts and their implementation in R.

Introduction to R basics and R environment
Reading Excel/SPSS file into R
Examine data distributions and quality
Assess the reliability (internal consistency) of a questionnaire
Generate descriptive statistics and explore data with graphs
Create plots using R
Use chi-square statistics to detect associations between categorical variables
Perform tests of differences between two group means
Perform analysis of variance and post-hoc multiple comparison techniques
Fit and interpret multiple linear regression model
Fit and interpret multiple logistic regression model
Test whether survival curves across groups are different
Test whether factor(s) associated with a higher hazard of event
Learn how to design well-formed tables for publication

Telephone Number : 11-4295495
E-mail : ngcebhp@ksau-hs.edu.sa