Advanced search
Publication Cover
Journal of the American Statistical Association Volume 90, 1995 - Issue 432
Submit an article Journal homepage
45
Views
12
CrossRef citations to date
0
Altmetric
Theory and Method

Estimating the Occurrence Rate for Prevalent Survival Data in Competing Risks Models

Ying Huang Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY, 10021
&
Mei-Cheng Wang Department of Biostatistics, Johns Hopkins University, Baltimore, MD, 21205
Pages 1406-1415 | Received 01 Sep 1993, Published online: 27 Feb 2012

Citations (12)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (3)

Feipeng Zhang & Yong Zhou. (2018) Non-parametric quantile estimate for length-biased and right-censored data with competing risks. Communications in Statistics - Theory and Methods 47:10, pages 2407-2424.
Read now
Pao-sheng Shen. (2011) Proportional subdistribution hazards regression for left-truncated competing risks data. Journal of Nonparametric Statistics 23:4, pages 885-895.
Read now
Pao-Sheng Shen. (2009) Semiparametric estimation of the occurrence rate for prevalent survival data in competing risk models. Journal of Statistical Computation and Simulation 79:7, pages 899-908.
Read now

Articles from other publishers (9)

Ali Shariati, Hassan Doosti, Vahid Fakoor & Masoud Asgharian. (2023) Uniform confidence bands for hazard functions from censored prevalent cohort survival data. Electronic Journal of Statistics 17:2.
Crossref
Bella Vakulenko-Lagun, Micha Mandel & Yair Goldberg. (2016) Nonparametric estimation in the illness-death model using prevalent data. Lifetime Data Analysis 23:1, pages 25-56.
Crossref
Jean-Yves Dauxois, Agathe Guilloux & Syed N. U. A. Kirmani. (2013) Estimation in a competing risks proportional hazards model under length-biased sampling with censoring. Lifetime Data Analysis 20:2, pages 276-302.
Crossref
Feipeng Zhang, Xuerong Chen & Yong Zhou. (2013) Proportional hazards model with varying coefficients for length-biased data. Lifetime Data Analysis 20:1, pages 132-157.
Crossref
Micha Mandel. (2010) The competing risks illness–death model under cross-sectional sampling. Biostatistics 11:2, pages 290-303.
Crossref
Jean-Yves Dauxois & Agathe Guilloux. (2008) Nonparametric inference under competing risks and selection-biased sampling. Journal of Multivariate Analysis 99:4, pages 589-605.
Crossref
Micha Mandel & Rebecca A. Betensky. (2007) Testing Goodness of Fit of a Uniform Truncation Model. Biometrics 63:2, pages 405-412.
Crossref
Masoud Asgharian & David B. Wolfson. (2005) Asymptotic behavior of the unconditional NPMLE of the length-biased survivor function from right censored prevalent cohort data. The Annals of Statistics 33:5.
Crossref
Pradip Bhuyan & Pranita Sarmah. (2002) Reliability estimation of a repairable standby redundant system. Statistical Papers 43:3, pages 323-336.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.