Survival Analysis Notes

# Individual left study right censoring true survival

This preview shows page 1. Sign up to view the full content.

This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: l no. of subjects Step/decreasing function that starts at 1. Censoring: survival times are incomplete. Individual left study. Right censoring: true survival time greater than the observed. Use Kaplan-Meier estimator to account for censoring. UNM Arrange survival times in increasing order y(1) ≤ y(2) ≤ y(3) . . . dj number of deaths that occur in the interval y(j ) − δ, y(j ) . nj number of subjects alive just before y(j ) Probability of survival past y(j ) is approximated as nj − dj nj The Kaplan Meier estimate for y(k ) ≤ y < y(k +1) is k ˆ S (y ) = j =1 nj − dj nj UNM Example: 21 remission times of Leukemia pati...
View Full Document

## This note was uploaded on 01/27/2014 for the course STAT 574 taught by Professor Gabrielhuerta during the Fall '13 term at New Mexico.

Ask a homework question - tutors are online