Document Detail


Hazard Function Estimation with Cause-of-Death Data Missing at Random.
MedLine Citation:
PMID:  22267874     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Hazard function estimation is an important part of survival analysis. Interest often centers on estimating the hazard function associated with a particular cause of death. We propose three nonparametric kernel estimators for the hazard function, all of which are appropriate when death times are subject to random censorship and censoring indicators can be missing at random. Specifically, we present a regression surrogate estimator, an imputation estimator, and an inverse probability weighted estimator. All three estimators are uniformly strongly consistent and asymptotically normal. We derive asymptotic representations of the mean squared error and the mean integrated squared error for these estimators and we discuss a data-driven bandwidth selection method. A simulation study, conducted to assess finite sample behavior, demonstrates that the proposed hazard estimators perform relatively well. We illustrate our methods with an analysis of some vascular disease data.
Authors:
Qihua Wang; Gregg E Dinse; Chunling Liu
Related Documents :
12628234 - A systems interpretation for observations of bird v-formations.
16285394 - Control of neuromuscular blockade in the presence of sensor faults.
19823934 - Droplet position control in digital microfluidic systems.
11385844 - Advanced monitoring and control of anaerobic wastewater treatment plants: software sens...
21280974 - Town-level comparisons may be an effective alternative in comparing rural and urban dif...
16399594 - Regression models for hazard rates versus cumulative incidence probabilities in hematop...
Publication Detail:
Type:  JOURNAL ARTICLE    
Journal Detail:
Title:  Annals of the Institute of Statistical Mathematics     Volume:  64     ISSN:  1572-9052     ISO Abbreviation:  -     Publication Date:  2012 Apr 
Date Detail:
Created Date:  2012-1-23     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101509177     Medline TA:  Ann Inst Stat Math     Country:  -    
Other Details:
Languages:  ENG     Pagination:  415-438     Citation Subset:  -    
Affiliation:
Academy of Mathematics and Systems Science, Chinese Academy of Science Beijing 100080, China.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Grant Support
ID/Acronym/Agency:
ZIA ES045007-13//NIEHS NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Context-free pairs of groups II - Cuts, tree sets, and random walks.
Next Document:  Humic acids buffer the effects of urea on soil ammonia oxidizers and potential nitrification.