Bayesian estimation of a semiparametric recurrent event model with applications to the penetrance estimation of multiple primary cancers in Li-Fraumeni syndrome. (14th November 2018)
- Record Type:
- Journal Article
- Title:
- Bayesian estimation of a semiparametric recurrent event model with applications to the penetrance estimation of multiple primary cancers in Li-Fraumeni syndrome. (14th November 2018)
- Main Title:
- Bayesian estimation of a semiparametric recurrent event model with applications to the penetrance estimation of multiple primary cancers in Li-Fraumeni syndrome
- Authors:
- Shin, Seung Jun
Li, Jialu
Ning, Jing
Bojadzieva, Jasmina
Strong, Louise C
Wang, Wenyi - Abstract:
- Summary: A common phenomenon in cancer syndromes is for an individual to have multiple primary cancers (MPC) at different sites during his/her lifetime. Patients with Li-Fraumeni syndrome (LFS), a rare pediatric cancer syndrome mainly caused by germline TP53 mutations, are known to have a higher probability of developing a second primary cancer than those with other cancer syndromes. In this context, it is desirable to model the development of MPC to enable better clinical management of LFS. Here, we propose a Bayesian recurrent event model based on a non-homogeneous Poisson process in order to obtain penetrance estimates for MPC related to LFS. We employed a familywise likelihood that facilitates using genetic information inherited through the family pedigree and properly adjusted for the ascertainment bias that was inevitable in studies of rare diseases by using an inverse probability weighting scheme. We applied the proposed method to data on LFS, using a family cohort collected through pediatric sarcoma patients at MD Anderson Cancer Center from 1944 to 1982. Both internal and external validation studies showed that the proposed model provides reliable penetrance estimates for MPC in LFS, which, to the best of our knowledge, have not been reported in the LFS literature.
- Is Part Of:
- Biostatistics. Volume 21:Number 3(2020)
- Journal:
- Biostatistics
- Issue:
- Volume 21:Number 3(2020)
- Issue Display:
- Volume 21, Issue 3 (2020)
- Year:
- 2020
- Volume:
- 21
- Issue:
- 3
- Issue Sort Value:
- 2020-0021-0003-0000
- Page Start:
- 467
- Page End:
- 482
- Publication Date:
- 2018-11-14
- Subjects:
- Age-at-onset penetrance -- Familywise likelihood -- Li-Fraumeni syndrome -- Multiple primary cancers -- Recurrent event model
Medical statistics -- Periodicals
Biometry -- Periodicals
Health risk assessment -- Periodicals
Medicine -- Research -- Statistical methods -- Periodicals
610.727 - Journal URLs:
- http://www3.oup.co.uk/biosts ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/biostatistics/kxy066 ↗
- Languages:
- English
- ISSNs:
- 1465-4644
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2089.628000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15142.xml