Browsing Waterloo Research by Subject "intermittent observation"
Now showing items 1-5 of 5
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Composite likelihood for aggregate data from clustered multistate processes under intermittent observation
(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
(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 ... -
The polytomous discrimination index for prediction involving multistate processes under intermittent observation
(John Wiley & Sons Ltd., 2022-08-30)With the increasing importance of predictive modeling in health research comes the need for methods to rigorously assess predictive accuracy. We consider the problem of evaluating the accuracy of predictive models for ... -
Score tests based on a finite mixture model of Markov processes under intermittent observation
(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 ... -
Statistical Issues in Modeling Chronic Disease in Cohort Studies
(Springer, 2014)Observational cohort studies of individuals with chronic disease provide information on rates of disease progression, the effect of fixed and time-varying risk factors, and the extent of heterogeneity in the course of ...