Browsing Statistics and Actuarial Science by Author "Jiang, Shu"
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Composite likelihood for aggregate data from clustered multistate processes under intermittent observation
Jiang, Shu; Cook, Richard J. (Taylor & Francis, 2019-03-11)Markov processes offer a useful basis for modeling the progression of organisms through successive stages of their life cycle. When organisms are examined intermittently in developmental studies, likelihoods can be constructed ... -
Mitigating bias from intermittent measurement of time-dependent covariates in failure time analysis
Jiang, Shu; Cook, Richard J.; Zeng, Leilei (Wiley, 2020-06-15)Cox regression models are routinely fitted to examine the association between time-dependent markers and a failure time when analyzing data from clinical registries. Typically, the marker values are measured periodically ... -
A mixture model for bivariate interval-censored failure times with dependent susceptibility
Jiang, Shu; Cook, Richard J. (Springer, 2020-03-07)Interval-censored failure times arise when the status with respect to an event of interest is only determined at intermittent examination times. In settings where there exists a sub-population of individuals who are not ... -
Mixture Models for Coarsened Multivariate Failure Time Data
Jiang, Shu (University of Waterloo, 2018-08-13)The aim of this thesis is to develop statistical methodology for the analysis of life history data under incomplete observation schemes and with latent features which must be accom- modated to ensure models provide a ... -
Score tests based on a finite mixture model of Markov processes under intermittent observation
Jiang, Shu; Cook, Richard J. (Wiley, 2019-07-20)A mixture model is described, which accommodates different Markov processes governing disease progression in a finite set of latent classes. We give special attention to the setting in which individuals are examined ...