Cohort study design for illness-death processes with disease status under intermittent observation
| dc.contributor.author | Moon, Nathalie C. | |
| dc.contributor.author | Zeng, Leilei | |
| dc.contributor.author | Cook, Richard J. | |
| dc.date.accessioned | 2021-01-12T21:07:34Z | |
| dc.date.available | 2021-01-12T21:07:34Z | |
| dc.date.issued | 2019-12-12 | |
| dc.description.abstract | Cohort studies are routinely conducted to learn about the incidence or progression rates of chronic diseases. The illness-death model offers a natural framework for joint consideration of non-fatal events in the semi-competing risks setting. We consider the design of prospective cohort studies where the goal is to estimate the effect of a marker on the risk of a non-fatal event which is subject to interval-censoring due to an intermittent observation scheme. The sample size is shown to depend on the effect of interest, the number of assessments, and the duration of follow-up. Minimum-cost designs are also developed to account for the different costs of recruitment and follow-up examination. We also consider the setting where the event status of individuals is observed subject to misclassification; the consequent need to increase the sample size to account for this error is illustrated through asymptotic calculations. | en |
| dc.description.sponsorship | This research was supported by an Alexander Graham Bell Canada Graduate Scholarship and an Ontario Graduate Scholarship to N. Moon, Discovery Grants from the Natural Science and Engineering Research Council of Canada to L. Zeng (RGPIN 115928) and R.J. Cook (RGPIN 155849) and from the Canadian Institutes for Health Research to R.J. Cook (FRN 13887). This work was conducted while R.J. Cook held a Canada Research Chair in Statistical Methods for Health Research. | en |
| dc.identifier.uri | https://doi.org/10.1080/24709360.2019.1699341 | |
| dc.identifier.uri | http://hdl.handle.net/10012/16635 | |
| dc.language.iso | en | en |
| dc.publisher | Taylor & Francis | en |
| dc.relation.ispartofseries | Biostatistics & Epidemiology;3(1) | |
| dc.subject | censored data | en |
| dc.subject | illness-death model | en |
| dc.subject | intermittent assessment | en |
| dc.subject | study design | en |
| dc.title | Cohort study design for illness-death processes with disease status under intermittent observation | en |
| dc.type | Article | en |
| dcterms.bibliographicCitation | Nathalie C. Moon, Leilei Zeng & Richard J. Cook (2019) Cohort study design for illness-death processes with disease status under intermittent observation, Biostatistics & Epidemiology, 3:1, 178-200, DOI: 10.1080/24709360.2019.1699341 | 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 |