Package io.github.ai4ci.config

Interface TestParameters

All Superinterfaces:

Serializable

All Known Implementing Classes:

ImmutableTestParameters

@Immutable
public interface TestParameters
extends Serializable

Method Summary

Modifier and Type	Method	Description
static double	applyNoise(double normalisedSignal, double sensitivity, double specificity, double limitOfDetection, Sampler rng)	This comes from the following logic. a uniform distribution of noise is added.
default double	applyNoise(double normViralLoad, Sampler rng)
Double	getLimitOfDetection()
Double	getMeanTestDelay()	The average delay in the result becoming available (days)
Double	getSdTestDelay()	The SD of the delay in the result.
Double	getSensitivity()
Double	getSpecificity()
String	getTestName()	Identifier for the test type e.g.
default double	negativeLikelihoodRatio()
default double	positiveLikelihoodRatio()

Method Details

getTestName

String getTestName()

Identifier for the test type e.g. LFT, PCR, SYMPTOMS

getSensitivity

Double getSensitivity()

getSpecificity

Double getSpecificity()

getMeanTestDelay

Double getMeanTestDelay()

The average delay in the result becoming available (days)

getSdTestDelay

Double getSdTestDelay()

The SD of the delay in the result. This will be a log normal

getLimitOfDetection

Double getLimitOfDetection()

applyNoise

default double applyNoise(double normViralLoad,
 Sampler rng)

positiveLikelihoodRatio

default double positiveLikelihoodRatio()

negativeLikelihoodRatio

default double negativeLikelihoodRatio()

applyNoise

static double applyNoise(double normalisedSignal,
 double sensitivity,
 double specificity,
 double limitOfDetection,
 Sampler rng)

This comes from the following logic. a uniform distribution of noise is added. If all the signal is zero this should be less than 1 in (spec) of the cases. If the signal is one then the sum should be less than 1 in (1-sens) of the time. The CDF of the uniform that does this is a straight line going through the points 0,(1-sens) and 1,(1-spec). This is connected to the rogan gladen estimator.