Pages that link to "Item:Q2272464"
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The following pages link to A continuous-time hidden Markov model for cancer surveillance using serum biomarkers with application to hepatocellular carcinoma (Q2272464):
Displaying 10 items.
- Early screening of ovarian cancer (Q2013046) (← links)
- Direct statistical inference for finite Markov jump processes via the matrix exponential (Q2135942) (← links)
- Multistate capture-recapture models for irregularly sampled data (Q2154194) (← links)
- Guest editor's introduction to the special issue on ``Hidden Markov models: theory and applications'' (Q2272458) (← links)
- Ovarian cancer screening based on mixture change-point model (Q2517117) (← links)
- (Q3098836) (← links)
- A Bayesian screening approach for hepatocellular carcinoma using multiple longitudinal biomarkers (Q3119830) (← links)
- A parametric empirical Bayes method for cancer screening using longitudinal observations of a biomarker (Q5701174) (← links)
- On the estimation of partially observed continuous-time Markov chains (Q6138151) (← links)
- Markov-modulated marked Poisson processes for modeling disease dynamics based on medical claims data (Q6626904) (← links)