Mitigating bias from intermittent measurement of time-dependent covariates in failure time analysis.
Stat Med. 2020.
PMID: 32126155
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Mitigating bias from intermittent measurement of time-dependent covariates in failure time analysis.
Jiang S, Cook RJ, Zeng L.
Jiang S, et al.
Stat Med. 2020 Mar 3. doi: 10.1002/sim.8517. Online ahead of print.
Stat Med. 2020.
PMID: 32126155
Cox regression models are routinely fitted to examine the association between time-dependent markers and a failure time when analyzing data from clinical registries. ...We also illustrate how a joint multistate model that accommodates intermittent …
Cox regression models are routinely fitted to examine the association between time-dependent markers and a failure t …
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Marker-dependent observation and carry-forward of internal covariates in Cox regression.
Cook RJ, Lawless JF, Xie B.
Cook RJ, et al.
Lifetime Data Anal. 2022 Oct;28(4):560-584. doi: 10.1007/s10985-022-09561-9. Epub 2022 Jun 20.
Lifetime Data Anal. 2022.
PMID: 35725841
The Cox regression model is perhaps the most common and convenient approach to analysis in this setting. In most cohort studies, however, biospecimens and biomarker values are only measured intermittently (e.g. at clinic visits) so Cox models often treat biom …
The Cox regression model is perhaps the most common and convenient approach to analysis in this setting. In most cohort studies, howe …
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