- Time Series Analysis and Forecasting
- Statistical Methods
- R Programming
- Logistic Regression
- R (Software)
- Descriptive Statistics
- Biostatistics
- Exploratory Data Analysis
- Model Evaluation
- Public Health
- Probability & Statistics
- Statistical Analysis
Survival Analysis in R for Public Health
Completed by Sara Kaliman
April 17, 2020
11 hours (approximately)
Sara Kaliman'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
