Bayesian Inference for the Lead Time in Periodic Cancer Screening
Author
Abstract
Suggested Citation
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Dongfeng Wu & Gary L. Rosner & Lyle Broemeling, 2005. "MLE and Bayesian Inference of Age-Dependent Sensitivity and Transition Probability in Periodic Screening," Biometrics, The International Biometric Society, vol. 61(4), pages 1056-1063, December.
- Kafadar, Karen & Prorok, Philip C., 1996. "Computer simulation of randomized cancer screening trials to compare methods of estimating lead time and benefit time," Computational Statistics & Data Analysis, Elsevier, vol. 23(2), pages 263-291, December.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- John D. Rice & Brent A. Johnson & Robert L. Strawderman, 2022. "Screening for chronic diseases: optimizing lead time through balancing prescribed frequency and individual adherence," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 28(4), pages 605-636, October.
- Wu Dongfeng & Kafadar Karen & Rosner Gary L. & Broemeling Lyle D., 2012. "The Lead Time Distribution When Lifetime is Subject to Competing Risks in Cancer Screening," The International Journal of Biostatistics, De Gruyter, vol. 8(1), pages 1-16, April.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Wu Dongfeng & Kafadar Karen & Rosner Gary L. & Broemeling Lyle D., 2012. "The Lead Time Distribution When Lifetime is Subject to Competing Risks in Cancer Screening," The International Journal of Biostatistics, De Gruyter, vol. 8(1), pages 1-16, April.
- Ayman Hijazy & András Zempléni, 2021. "Gamma Process-Based Models for Disease Progression," Methodology and Computing in Applied Probability, Springer, vol. 23(1), pages 241-255, March.
- Rui Chen & Menggang Yu, 2021. "Tailored optimal posttreatment surveillance for cancer recurrence," Biometrics, The International Biometric Society, vol. 77(3), pages 942-955, September.
- John D. Rice & Brent A. Johnson & Robert L. Strawderman, 2022. "Screening for chronic diseases: optimizing lead time through balancing prescribed frequency and individual adherence," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 28(4), pages 605-636, October.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:biomet:v:63:y:2007:i:3:p:873-880. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0006-341X .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.