- Statistical Hypothesis Testing
- R Programming
- Statistical Methods
- Correlation Analysis
- Public Health
- Probability & Statistics
- Exploratory Data Analysis
- Data Analysis
- Time Series Analysis and Forecasting
- Statistical Analysis
- Biostatistics
- Descriptive Statistics
Survival Analysis in R for Public Health
Completed by Samuel Kwame Sopuruchi Agomuo
December 21, 2023
11 hours (approximately)
Samuel Kwame Sopuruchi Agomuo's account is verified. Coursera certifies their successful completion of Survival Analysis in R for Public Health
What you will learn
Run Kaplan-Meier plots and Cox regression in R and interpret the output
Describe a data set from scratch, using descriptive statistics and simple graphical methods as a necessary first step for more advanced analysis
Describe and compare some common ways to choose a multiple regression model
Skills you will gain
