afdx

afdx-package

The afdx package provides functions to estimate the attributable fraction
using logit exponential model or bayesian latent class model.

Estimate diagnosis performance (Sensitivity, Specificity,
Positive predictive value, Negative predicted value) of a diagnostic test
where can not measure the golden standard but can estimate it using the
attributable fraction.

Aponte John

Diagnosis Performance Using Attributable Fraction

John J. Aponte

Orvalho Augusto

afdx-package function

The logitexp function estimated the logit exponential function fitting a
maximum likelihood model. The senspec() function estimate the sensitivity,
specificity, positive predicted value and negative predicted values for
the specified cut-off points.

The logit exponential model

The get_latent_model() provides an rjags model template to estimate
the attributable fraction and the sensitivity, specificity, positive
predicted value and negative predicted value of the latent class model.
@docType package
@name afdx

afdx-package: afdx: Diagnosis performance indicators from attributable fraction estimates.

Description

Arguments

The logit exponential model

The bayesian latent class model

See Also