{
  "package" : "hl7.terminology.r5@6.3.0",
  "definition" : "The logarithmic normal distribution is used to transform skewed random variable X into a normally distributed random variable U = log X. The log-normal distribution can be specified with the properties mean m and standard deviation s. Note however that mean m and standard deviation s are the parameters of the raw value distribution, not the transformed parameters of the lognormal distribution that are conventionally referred to by the same letters. Those log-normal parameters mlog and slog relate to the mean m and standard deviation s of the data value through slog2 = log (s2/m2 + 1) and mlog = log m - slog2/2.",
  "system" : "http://terminology.hl7.org/CodeSystem/v3-ProbabilityDistributionType",
  "property" : [ {
    "_uri" : "http://hl7.org/fhir/concept-properties#status",
    "code" : "status",
    "valueCode" : "active"
  }, {
    "_uri" : "http://terminology.hl7.org/CodeSystem/utg-concept-properties#v3-internal-id",
    "code" : "internalId",
    "valueCode" : "10750"
  } ],
  "codesystem" : "6b6f63e4-151d-5867-ab60-161768aa008f",
  "concept_id" : "5c2b71d8-aff6-5b2a-b878-ded3c8ea10a5",
  "ancestors" : {
    "LN" : 0
  },
  "id" : "33fa2c0c-491b-4352-ae00-24f41fa14d26",
  "code" : "LN",
  "display" : "log-normal",
  "version" : "3.0.0"
}