<p>Probability ranges and corresponding coefficients of the beta prior densities for the sensitivities and specificities of the Kato-Katz and direct smear techniques used in the Bayesian latent class analyses to adjust for misclassification of STH infection.</p
Using the model described in the main text, we generate synthetic data for given model parameters. U...
<p>Comparisons of the estimated sensitivity, specificity, positive predictive value (PPV), negative ...
<p><b>A.</b> The parameters that define the logistic function are illustrated: λ<sub>A</sub>, lapse ...
<p>Estimated sensitivity and specificity of four diagnostic tests for cholera in patients (95% credi...
<p>Estimated sensitivity and specificity of six diagnostic tests for enteric fever in 92 febrile pat...
<p>Sensitivity and specificity of Kato-Katz and Mini-FLOTAC diagnostic methods for soil-transmitted ...
In general, model selection is an important prelude to subsequent statistical inference in risk asse...
<p>NA: Not applicable</p><p>Cohen’s kappa statistics (κ) to evaluate the agreement in the classifica...
<p><sup>1</sup>RhCMV, rhesus cytomegalovirus; SFV, simian foamy virus.</p><p><sup>2</sup>Estimated p...
<p>These estimations are based on the model with a proportion of maximal conditional covariance betw...
In robust bayesian analysis, ranges of quantities of interest (e. g. posterior means) are usually co...
<p>A critical step for any Bayesian analysis is the examination of the influence of prior densities ...
Model-based estimates of the infection intensity-dependent sensitivity of Kato-Katz for various numb...
Mean and standard deviation of prior distributions used for CESD-SF parameters (with and without cor...
Estimates of disease prevalence in any host population are complicated by uncertainty in the outcome...
Using the model described in the main text, we generate synthetic data for given model parameters. U...
<p>Comparisons of the estimated sensitivity, specificity, positive predictive value (PPV), negative ...
<p><b>A.</b> The parameters that define the logistic function are illustrated: λ<sub>A</sub>, lapse ...
<p>Estimated sensitivity and specificity of four diagnostic tests for cholera in patients (95% credi...
<p>Estimated sensitivity and specificity of six diagnostic tests for enteric fever in 92 febrile pat...
<p>Sensitivity and specificity of Kato-Katz and Mini-FLOTAC diagnostic methods for soil-transmitted ...
In general, model selection is an important prelude to subsequent statistical inference in risk asse...
<p>NA: Not applicable</p><p>Cohen’s kappa statistics (κ) to evaluate the agreement in the classifica...
<p><sup>1</sup>RhCMV, rhesus cytomegalovirus; SFV, simian foamy virus.</p><p><sup>2</sup>Estimated p...
<p>These estimations are based on the model with a proportion of maximal conditional covariance betw...
In robust bayesian analysis, ranges of quantities of interest (e. g. posterior means) are usually co...
<p>A critical step for any Bayesian analysis is the examination of the influence of prior densities ...
Model-based estimates of the infection intensity-dependent sensitivity of Kato-Katz for various numb...
Mean and standard deviation of prior distributions used for CESD-SF parameters (with and without cor...
Estimates of disease prevalence in any host population are complicated by uncertainty in the outcome...
Using the model described in the main text, we generate synthetic data for given model parameters. U...
<p>Comparisons of the estimated sensitivity, specificity, positive predictive value (PPV), negative ...
<p><b>A.</b> The parameters that define the logistic function are illustrated: λ<sub>A</sub>, lapse ...