Estimation/Imputation Strategies for Missing Data in Survival Analysis

Statistical Models and Methods for Reliability and Survival Analysis

Volumn 9781848216198, Issue , 2013, Pages 229-252

  Brunel, Elodie ^a   Comte, Fabienne ^b   Guilloux, Agathe ^c  

^a UNIV MONTPELLIER   (France)

^b UNIVERSITÉ PARIS DESCARTES   (France)

^c SORBONNE UNIVERSITÉ   (France)

Author keywords

Estimation imputation strategies; Hazard estimators; MAR case; Missing censoring indicator (MCI); Missing data; Numerical comparison

Indexed keywords

CENSORED DATA; ESTIMATION STRATEGIES; ESTIMATION-IMPUTATION STRATEGY; HAZARD ESTIMATOR; IMPUTATION STRATEGY; MAR CASE; MISSING CENSORING INDICATOR; MISSING DATA; NUMERICAL COMPARISON; SURVIVAL ANALYSIS;

EID: 84926401328     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9781118826805.ch15     Document Type: Chapter

References (15)

1. BRUNEL E., COMTE F., "Penalized contrast estimation of density and hazard rate with censored data", Sankhya, vol. 67, part 3, pp. 441-475, 2005.
2. BRUNEL E., COMTE F., GUILLOUX A., "Nonparametric estimation for survival data with censoring indicators missing at random", Journal of Statistical Planning and Inference, vol. 143, pp. 1653-1671, 2013.
3. COMTE F., GAÏFFAS S., GUILLOUX A., "Adaptive estimation of the conditional intensity of marker-dependent counting processes", Annales de l'Institut Henri Poincaré Probabilités et Statistiques, vol. 47, pp. 1171-1196, 2011.
4. LITTLE R.J.A., RUBIN D.B., Statistical Analysis with Missing Data, 2nd ed, Wiley Series in Probability and Statistics, Wiley-Interscience, John Wiley & Sons, Hoboken, NJ, 2002.
5. RUBIN D.B., Multiple Imputation for Nonresponse in Surveys, Wiley Series in Probability and Mathematical Statistics: Applied Probability and Statistics, John Wiley & Sons, New York, 1987.
6. TALAGRAND M., "New concentration inequalities in product spaces", Inventiones Mathematicae, vol. 126, pp. 505-563, 1996.
7. VAN DER LAAN M.J., MCKEAGUE I.W., "Efficient estimation from right-censored data when failure indicators are missing at random", Annals of Statistics, vol. 26, pp. 164-182, 1998.
8. SUBRAMANIAN S., "Asymptotically efficient estimation of a survival function in the missing censoring indicator model", Journal of Nonparametric Statistics, vol. 16, pp. 797-817, 2004.
9. SUBRAMANIAN S., "Survival analysis for the missing censoring indicator model using kernel density estimation techniques", Statistical Methodology, vol. 3, pp. 125-136, 2006.
10. SUBRAMANIAN S., "The multiple imputations based Kaplan-Meier estimator", Statistics & Probability Letters, vol. 79, pp. 1906-1914, 2009.
11. SUBRAMANIAN S., "Multiple imputations and the missing censoring indicator model", Journal of Multivariate Analysis, vol. 102, pp. 105-117, 2011.
12. WANG Q., SHEN J., "Estimation and confidence bands of a conditional survival function with censoring indicators missing at random", Journal of Multivariate Analysis, vol. 99, pp. 928-948, 2008.
13. WANG Q., NG K.W., "Asymptotically efficient product-limit estimators with censoring indicators missing at random", Statistica Sinica, vol. 18, pp. 749-768, 2008.
14. WANG Q., LIU W., LIU C., "Probability density estimation for survival data with censoring indicators missing at random", Journal of Multivariate Analysis, vol. 100, pp. 835-850, 2009.
15. ZHOU X., SUN L., "Additive hazards regression with missing censoring information", Statistica Sinica, vol. 13, pp. 1237-1257, 2003.