Publications by Zhao Yuanfan
Assignment 2 of Survival Analysis: Question 5
Question 5 We import the required data set. kidneyTrans <- read.csv("kidneyTrans.csv") kidneyTrans %>% head() %>% kable() obs time death gender race age 1 1 0 1 1 46 2 5 0 1 1 51 3 7 1 1 1 55 4 9 0 1 1 57 5 13 0 1 1 45 6 13 0 1 1 43 According to the question, we know there are 863 observations. The meanings of each variable are as follows...
2576 sym 1 tbl
Assignment 1 of Survival Analysis
Question 4 We import the required data set. data <- read.csv("kidneyTrans.csv") data %>% head() %>% kable() obs time death gender race age 1 1 0 1 1 46 2 5 0 1 1 51 3 7 1 1 1 55 4 9 0 1 1 57 5 13 0 1 1 45 6 13 0 1 1 43 According to the question, we know there are 863 observations. The meanings of each variable are as follows: time means t...
6716 sym 5 img 1 tbl
Assignment 1 of Survival Analysis
Question 4 We import the required data set. data <- read.csv("kidneyTrans.csv") data %>% head() %>% kable() obs time death gender race age 1 1 0 1 1 46 2 5 0 1 1 51 3 7 1 1 1 55 4 9 0 1 1 57 5 13 0 1 1 45 6 13 0 1 1 43 According to the question, we know there are 863 observations. The meanings of each variable are as follows: time means t...
5533 sym 5 img 1 tbl
Assignment 1 of Survival Analysis
Question 4 We import the required data set. data <- read.csv("kidneyTrans.csv") data %>% head() %>% kable() obs time death gender race age 1 1 0 1 1 46 2 5 0 1 1 51 3 7 1 1 1 55 4 9 0 1 1 57 5 13 0 1 1 45 6 13 0 1 1 43 According to the question, we know there are 863 observations. The meanings of each variable are as follows: time means t...
2471 sym 5 img 1 tbl
Assignment 1 of Survival Analysis
Question 4 We import the required data set. data <- read.csv("kidneyTrans.csv") data %>% head() %>% kable() obs time death gender race age 1 1 0 1 1 46 2 5 0 1 1 51 3 7 1 1 1 55 4 9 0 1 1 57 5 13 0 1 1 45 6 13 0 1 1 43 According to the question, we know there are 863 observations. The meanings of each variable are as follows: time means t...
2724 sym 5 img 1 tbl