Pages that link to "Item:Q3592126"
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The following pages link to Insights into latent class analysis of diagnostic test performance (Q3592126):
Displaying 28 items.
- A general latent class model for performance evaluation of diagnostic tests in the absence of a gold standard: an application to Chagas disease (Q454665) (← links)
- A hierarchical Bayesian approach to record linkage and population size problems (Q641103) (← links)
- Joint modelling of multivariate longitudinal outcomes and a time-to-event: a nonlinear latent class approach (Q961251) (← links)
- A pseudo-likelihood approach for estimating diagnostic accuracy of multiple binary medical tests (Q1623809) (← links)
- Model-based clustering for assessing the prognostic value of imaging biomarkers and mixed type tests (Q1658145) (← links)
- Alternative estimator for the parameters of a mixture of two binomial distributions (Q1935690) (← links)
- Asymptotic analysis of reliability measures for an imperfect dichotomous test (Q2165830) (← links)
- Partially identified prevalence estimation under misclassification using the kappa coefficient (Q2375321) (← links)
- Use of individual-level covariates to improve latent class analysis of Trypanosoma cruzi diagnostic tests (Q2867336) (← links)
- When do latent class models overstate accuracy for diagnostic and other classifiers in the absence of a gold standard? (Q2912354) (← links)
- Bayesian Approaches to Modeling the Conditional Dependence Between Multiple Diagnostic Tests (Q3078699) (← links)
- Estimation and inference for case-control studies with multiple non-gold standard exposure assessments: with an occupational health application (Q3304978) (← links)
- A Cautionary Note on the Robustness of Latent Class Models for Estimating Diagnostic Error without a Gold Standard (Q3442973) (← links)
- ROC‐Based Utility Function Maximization for Feature Selection and Classification with Applications to High‐Dimensional Protease Data (Q3549408) (← links)
- Logistic regression and latent class models for estimating positivities in diagnostic assays with poor resolution (Q4269923) (← links)
- A Measurement Model of Disease Damage in Paired Organs (Q4330143) (← links)
- Estimating Diagnostic Accuracy of Raters Without a Gold Standard by Exploiting a Group of Experts (Q4911959) (← links)
- Designing a single-sampling plan for attributes in the presence of classification errors (Q5086318) (← links)
- On implementation of the Gibbs sampler for estimating the accuracy of multiple diagnostic tests (Q5123620) (← links)
- A fast Monte Carlo expectation–maximization algorithm for estimation in latent class model analysis with an application to assess diagnostic accuracy for cervical neoplasia in women with atypical glandular cells (Q5129151) (← 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)
- Letter to the editor (Q5896161) (← links)
- Integrating sample similarities into latent class analysis: a tree‐structured shrinkage approach (Q6056158) (← links)
- Bayesian hierarchical models incorporating study-level covariates for multivariate meta-analysis of diagnostic tests without a gold standard with application to COVID-19 (Q6560503) (← 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)
- Commentary on ``On the robustness of latent class models for diagnostic testing with no gold-standard'' by Schofield et al. (Q6627975) (← links)
- Estimation of diagnostic test accuracy: a ``rule of three'' for data with repeated observations but without a gold standard (Q6627981) (← links)