| Library: | hazreg |
| See also: | hazdat haznar |
| Macro: | hazrisk | |
| Description: | determines which observations are ar risk at the time point t_i. |
| Usage: | inrisk = hazrisk(data,i) | |
| Input: | ||
| data | n x (p+4) matrix, the first column is the sorted survival time, followed by the sorted censoring indicator, labels l, a column containing the number of ties, and lastly, the sorted covariate matrix z. This data is produced by hazdat.xpl. | |
| i | an integer between 1 and n. | |
| Output: | ||
| inrisk | n x 1 vector, the jth entry is 1 if the jth observation is at risk at time i, 0 otherwise. | |
library("hazreg")
y = -log(1-uniform(20)) ; exponential survival
c = 2*uniform(20) ; uniform censoring
t = min(y~c,2) ; censored time
delta = (y<=c) ; censoring indicator
{data,ties} = hazdat(t,delta) ; preparing data
inrisk = hazrisk(data,5) ; the risk set at
observation 5
The risk set at observation 5 is listed as a vector where 1 indicating risk and 0 otherwise.
library("hazreg")
y = 2|1|3|2|4|7|1|3|2 ; hypothetical survival
c = 3|1|5|6|1|6|2|4|5 ; hypothetical censoring
t = min(y~c,2) ; censored time
delta = (y<=c) ; censoring indicator
{data,ties} = hazdat(t,delta) ; preparing data
inrisk = hazrisk(data,3) ;the risk set at observation 3
The risk set at observation 3 is listed as a vector where 1 indicating risk and 0 otherwise.
| Library: | hazreg |
| See also: | hazdat haznar |