- R (Software)
- Regression Analysis
- R Programming
- Statistical Analysis
- Exploratory Data Analysis
- Biostatistics
- Statistical Methods
- Time Series Analysis and Forecasting
- Descriptive Statistics
- Data Wrangling
- Model Evaluation
- Logistic Regression
Survival Analysis in R for Public Health
Completed by Tejas Goyal
November 14, 2023
11 hours (approximately)
Tejas Goyal'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
