- Time Series Analysis and Forecasting
- R (Software)
- Exploratory Data Analysis
- R Programming
- Probability & Statistics
- Descriptive Statistics
- Data Wrangling
- Statistical Analysis
- Logistic Regression
- Model Evaluation
- Statistical Methods
- Public Health
Survival Analysis in R for Public Health
Completed by Chun Kang Chua
September 16, 2021
11 hours (approximately)
Chun Kang Chua'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
