{
  "package" : "hl7.fhir.r4.core@4.0.1",
  "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" : [ ],
  "codesystem" : "d6d32e85-8b65-5cc9-8d19-64893bcc5c28",
  "concept_id" : "5c2b71d8-aff6-5b2a-b878-ded3c8ea10a5",
  "ancestors" : {
    "LN" : 0
  },
  "id" : "2da93ef3-f54c-400f-bcaa-3071d9551e4b",
  "code" : "LN",
  "display" : "log-normal",
  "version" : "2018-08-12"
}