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TreatmentResultRep.md

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LaunchDarklyApi.TreatmentResultRep

Properties

Name Type Description Notes
treatmentId String The ID of the treatment [optional]
treatmentName String The name of the treatment [optional]
mean Number The average value of the variation in this sample. It doesn’t capture the uncertainty in the measurement, so it should not be the only measurement you use to make decisions. [optional]
dataMean Number The mean of the data, with no priors effecting the result. [optional]
dataStdDev Number The standard deviation of the data, with no priors effecting the result. [optional]
credibleInterval CredibleIntervalRep [optional]
pBest Number The likelihood that this variation has the biggest effect on the primary metric. The variation with the highest probability is likely the best of the variations you're testing [optional]
relativeDifferences [RelativeDifferenceRep] Estimates of the relative difference between this treatment's mean and the mean of each other treatment [optional]
units Number The number of units exposed to this treatment that have event values, including those that are configured to default to 0 [optional]
traffic Number The number of units exposed to this treatment. [optional]
eventValuesSum Number The sum of the event values for the units exposed to this treatment. [optional]
distribution Distribution [optional]
correlation Number The outcome-covariate correlation [optional]
standardDeviationRatio Number The ratio of the outcome SD to covariate SD [optional]
covariateImbalance Number The imbalance between the covariate mean for the arm and the covariate mean for the experiment [optional]
varianceReduction Number The reduction in variance resulting from CUPED [optional]
model String The model used to calculate the results. Parameters specific to this model will be defined under the field under the same name [optional]
bayesianNormal BayesianNormalStatsRep [optional]
bayesianBeta BayesianBetaBinomialStatsRep [optional]

Enum: ModelEnum

  • bayesianNormal (value: "bayesianNormal")

  • bayesianBeta (value: "bayesianBeta")