assignPoD | Assign probability of disease (PoD) |
BlindSampling | Immunogenicity subset: vaccinated, control, non-diseased |
ClinicalTrial | Clinical trial: estimation of case-count efficacy |
ClinicalTrialCoverage | Clinical trial function expanded for usage in simulations... |
control | Dataset containing the information for control subjects |
cppMLE | Maximum likelihood estimation: cpp |
cppPoD | Probability of disease calculation |
diseased | Dataset containing the information for diseased subjects |
EfficacyCI | PoDBAY efficacy summary: mean, median, confidence intervals |
EfficacyCICoverage | PoDBAY efficacy summary at three confidence levels |
efficacyComputation | PoDBAY efficacy equation |
efficacySet | Estimated PoDBAY efficacies |
efficacySquaredError | Optimization objective function: efficacy squared error |
estimatedParameters | Estimated PoD curve parameters |
ExpectedPoD | Expected probability of disease |
ExtractDiseased | Diseased subjects extraction |
ExtractNondiseased | Non-diseased subjects extraction |
fitPoD | PoD curve: fitting function |
GenerateNondiseased | Generation of upsampled non-diseased subjects titers |
generatePopulation | Population class object generation |
getDiseasedCount | Diseased count |
getDiseasedTiters | Diseased titers |
getNondiseasedCount | Non-diseased count |
getNondiseasedTiters | Non-diseased titers |
getTiters | Subject level titers |
getUnknown | Generate unknown |
ImmunogenicitySubset | Immunogenicity subset |
incorrectInput | Error message |
incorrectPopulationInput | Population class error message |
JitterMean | Population mean jittering |
MLE | Maximum Likelihood estimation |
nondiseased | Dataset containing the information for non-diseased subjects |
numToBool | Numeric to boolean |
PmaxEstimation | PoD curve paramater, pmax, estimation |
PoD | Probability of disease calculation |
PoDBAY | PoDBAY |
PoDBAYEfficacy | PoDBAY efficacy estimation |
PoDCI | PoD curve confidence ribbon |
PoDCurvePlot | PoD curve: plot |
PoDEfficacySquaredError | Optimization function: finds PoD curve paramaters (et50,... |
PoDMLE | Setup for the maximum likelihood estimation (MLE) |
PoDParamEstimation | PoD curve parameters estimation |
PoDParamPointEstimation | PoD curve point estimate |
PoDParams | PoD curve parameters |
PoDParamsCI | Confidence intervals of PoD curve parameters |
PoDParamsCICoverage | Confidence intervals of PoD curve parameters at three... |
popFun | Population function |
Population-class | Population class |
popX | Add noise to population titers |
vaccinated | Dataset containing the information for vaccinated subjects |
waldCI | Wald confidence interval estimation |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.