Browsing Statistics and Actuarial Science by Subject "intermittent observation"
Now showing items 1-6 of 6
-
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 ... -
Event History Analysis in Longitudinal Cohort Studies with Intermittent Inspection Times
(University of Waterloo, 2016-01-20)Event history studies based on disease clinic data often face several complications. Specifically, patients visit the clinic irregularly, and the intermittent inspection times depend on the history of disease-related ... -
Failure Time Analysis with Discrete Marker Processes under Intermittent Observation
(University of Waterloo, 2021-07-28)Regression analysis for failure time data is often directed at studying the relationship between a time-dependent biomarker and failure. The Cox regression model and the associated partial likelihood on which inference ... -
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 ... -
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 ...