- Biostatistics
- Data Wrangling
- Statistical Methods
- Probability & Statistics
- Exploratory Data Analysis
- R Programming
- Logistic Regression
- Statistical Analysis
- Descriptive Statistics
- Time Series Analysis and Forecasting
- Public Health
- R (Software)
Survival Analysis in R for Public Health
Completed by Fortune Uche Okafor
April 9, 2024
11 hours (approximately)
Fortune Uche Okafor'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
