- 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 Rainer Mariano Rothe Muñoz
October 24, 2023
11 hours (approximately)
Rainer Mariano Rothe Muñoz'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
