Pages that link to "Item:Q5701174"
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The following pages link to A parametric empirical Bayes method for cancer screening using longitudinal observations of a biomarker (Q5701174):
Displaying 14 items.
- A Bayesian method to estimate the optimal threshold of a longitudinal biomarker (Q141332) (← links)
- Evaluation of screening strategies for pre-malignant lesions using a biomathematical approach (Q927138) (← links)
- Early screening of ovarian cancer (Q2013046) (← links)
- A continuous-time hidden Markov model for cancer surveillance using serum biomarkers with application to hepatocellular carcinoma (Q2272464) (← links)
- Ovarian cancer screening based on mixture change-point model (Q2517117) (← links)
- A Comparative Study of Approaches for Predicting Prostate Cancer from Longitudinal Data (Q3102898) (← links)
- A Bayesian screening approach for hepatocellular carcinoma using multiple longitudinal biomarkers (Q3119830) (← links)
- A Bayesian scoring rule on clustered event data for familial risk assessment - An example from colorectal cancer screening (Q3134235) (← links)
- Author's Responses (Q3543504) (← links)
- Screening for prostate cancer using multivariate mixed-effects models (Q5127029) (← links)
- Bayesian Semiparametric Estimation of Cancer-Specific Age-at-Onset Penetrance With Application to Li-Fraumeni Syndrome (Q5231482) (← links)
- Statistical approaches using longitudinal biomarkers for disease early detection: a comparison of methodologies (Q6617388) (← links)
- Combining biomarker trajectories to improve diagnostic accuracy in prospective cohort studies with verification bias (Q6625613) (← links)
- A multivariate parametric empirical Bayes screening approach for early detection of hepatocellular carcinoma using multiple longitudinal biomarkers (Q6628376) (← links)
