Pages that link to "Item:Q3064276"

The following pages link to Identifiability of Models for Multiple Diagnostic Testing in the Absence of a Gold Standard (Q3064276):

Displaying 18 items.

• A Bayesian superpopulation approach to inference for finite populations based on imperfect diagnostic outcomes (Q321428) (← links)
• Modeling bivariate longitudinal diagnostic outcome data in the absence of a gold standard (Q440076) (← links)
• How many parameters can a model have and still be testable? (Q579818) (← links)
• Model-based clustering for assessing the prognostic value of imaging biomarkers and mixed type tests (Q1658145) (← links)
• Analyzing and solving the identifiability problem in the exponentiated generalized Weibull distribution (Q2065497) (← links)
• Bernstein polynomial angular densities of multivariate extreme value distributions (Q2407492) (← links)
• A framework for the joint modeling of longitudinal diagnostic outcome data and latent infection status: application to investigating the temporal relationship between infection and disease (Q2912328) (← links)
• (Q4381618) (← links)
• Simultaneous inference of a misclassified outcome and competing risks failure time data (Q5130227) (← links)
• Testing hypotheses about medical test accuracy: considerations for design and inference (Q5130229) (← links)
• Estimation of diagnostic accuracy of a combination of continuous biomarkers allowing for conditional dependence between the biomarkers and the imperfect reference‐test (Q5283327) (← links)
• Bayesian credible intervals for population attributable risk from case–control, cohort and cross‐sectional studies (Q6075134) (← links)
• Estimation of sensitivity and specificity of multiple repeated binary tests without a gold standard (Q6627101) (← links)
• Probabilistic cause-of-disease assignment using case-control diagnostic tests: a latent variable regression approach (Q6627929) (← links)
• On the robustness of latent class models for diagnostic testing with no gold standard (Q6627973) (← links)
• Continued controversy in using latent class models for estimating diagnostic accuracy without a gold standard (Q6627974) (← links)
• Estimation of diagnostic test accuracy: a ``rule of three'' for data with repeated observations but without a gold standard (Q6627981) (← links)
• Measuring rater bias in diagnostic tests with ordinal ratings (Q6628419) (← links)