Chapter 35. Predicting Outcomes Over Time: Survival Analysis

  1. Joseph Schulman M.D., M.S.

Published Online: 11 JAN 2008

DOI: 10.1002/9780470757451.ch35

Managing Your Patients' Data in the Neonatal and Pediatric ICU: An Introduction to Databases and Statistical Analysis

Managing Your Patients' Data in the Neonatal and Pediatric ICU: An Introduction to Databases and Statistical Analysis

How to Cite

Schulman, J. (2006) Predicting Outcomes Over Time: Survival Analysis, in Managing Your Patients' Data in the Neonatal and Pediatric ICU: An Introduction to Databases and Statistical Analysis, Blackwell Publishing Ltd, Oxford, UK. doi: 10.1002/9780470757451.ch35

Author Information

  1. Division of Newborn Medicine, Weill Medical College of Cornell University, New York-Presbyterian Hospital, New York, New York, 10021

Publication History

  1. Published Online: 11 JAN 2008
  2. Published Print: 1 JAN 2006

ISBN Information

Print ISBN: 9780727918703

Online ISBN: 9780470757451

SEARCH

Keywords:

  • survival data;
  • groups;
  • techniques;
  • logistic regression;
  • failures

Summary

The prelims comprise:

  • Analyzing the time to an event

  • Survival data

  • Censoring

  • Survivor and hazard functions

  • Setting up a survival data set in Stata

  • Kaplan–Meier nonparametric method

  • Comparing survival outcomes: Kaplan–Meier method

  • Cox semiparametric method, and a brief mention of parametric methods

  • Survival analysis:summary and comparison to logistic regression