- Biostatistics
- Data Analysis
- Descriptive Statistics
- Time Series Analysis and Forecasting
- Regression Analysis
- Probability & Statistics
- Statistical Hypothesis Testing
- Correlation Analysis
- Exploratory Data Analysis
- Statistical Modeling
- Statistical Analysis
- Public Health
Survival Analysis in R for Public Health
Completed by Diego Montiel González
February 9, 2020
11 hours (approximately)
Diego Montiel González'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
