A dynamic Mover–Stayer model for recurrent event processes subject to resolution
dc.contributor.author | Cook, Richard J. | |
dc.contributor.author | Shen, Hua | |
dc.date.accessioned | 2016-02-10T20:04:33Z | |
dc.date.available | 2016-02-10T20:04:33Z | |
dc.date.issued | 2014-07 | |
dc.description | The final publication is available at Springer via http://dx.doi.org/10.1007/s10985-013-9271-7 | en |
dc.description.abstract | In studies of affective disorder, individuals are often observed to experience recurrent symptomatic exacerbations warranting hospitalization. Interest may lie in modeling the occurrence of such exacerbations over time and identifying associated risk factors. In some patients, recurrent exacerbations are temporally clustered following disease onset, but cease to occur after a period of time.We develop a dynamic Mover-Stayer model in which a canonical binary variable associated with each event indicates whether the underlying disease has resolved. An individual whose disease process has not resolved will experience events following a standard point process model governed by a latent intensity. When the disease process resolves, the complete data intensity becomes zero and no further event will occur. An expectation- maximization algorithm is described for parametric and semiparametric model fitting based on a discrete time dynamic Mover-Stayer model and a latent intensity-based model of the underlying point process. | en |
dc.description.sponsorship | RJC: Natural Sciences and Engineering Research Council of Canada (RGPIN 155849); Canadian Institutes for Health Research (FRN 13887); Canada Research Chair (Tier 1) – CIHR funded (950-226626) HS: Grant from the Division of High Impact Clinical Trials of the Ontario Institute for Cancer Research | en |
dc.identifier.uri | http://dx.doi.org/10.1007/s10985-013-9271-7 | |
dc.identifier.uri | http://hdl.handle.net/10012/10259 | |
dc.language.iso | en | en |
dc.publisher | Springer US | en |
dc.relation.ispartofseries | Lifetime Data Analysis;20(3) | en |
dc.subject | Dynamic Mover-Stayer model | en |
dc.subject | EM algorithm | en |
dc.subject | Recurrent event data | en |
dc.subject | Semiparametric estimation | en |
dc.title | A dynamic Mover–Stayer model for recurrent event processes subject to resolution | en |
dc.title.alternative | A dynamic Mover–Stayer model for recurrent event processes | en |
dc.type | Article | en |
dcterms.bibliographicCitation | Shen, H., & Cook, R.J. (2014). A dynamic Mover–Stayer model for recurrent event processes subject to resolution. Lifetime Data Analysis, 20(3), 404-423 | en |
uws.contributor.affiliation1 | Faculty of Mathematics | en |
uws.contributor.affiliation2 | Statistics and Actuarial Science | en |
uws.peerReviewStatus | Reviewed | en |
uws.scholarLevel | Faculty | en |
uws.typeOfResource | Text | en |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Cook_Richard-10259.pdf
- Size:
- 296.37 KB
- Format:
- Adobe Portable Document Format
- Description:
- Accepted Manuscript
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 4.46 KB
- Format:
- Item-specific license agreed upon to submission
- Description: