 Maturity Level : 0  Informative  Use Context : Any 
This is a value set defined by the FHIR project.
Summary
Defining URL: 
http://hl7.org/fhir/ValueSet/probabilitydistributiontype

Version:  4.4.0 
Name:  ProbabilityDistributionType 
Title:  ProbabilityDistributionType 
Definition: 
Codes
specifying
the
type
of
probability

Committee:  FHIR Infrastructure Work Group 
OID: 

Source Resource  XML / JSON 
This
value
set
is
not
currently
used
in
the
following
places:
http://hl7.org/fhir/v3/ProbabilityDistributionType
http://terminology.hl7.org/CodeSystem/v3ProbabilityDistributionType
Code  Display  Definition 
B  beta 
The
betadistribution
is
used
for
data
that
is
bounded
on
both
sides
and

E  exponential  Used for data that describes extinction. The exponential distribution is a special form of gdistribution where a = 1, hence, the relationship to mean m and variance s2 are m = b and s2 = b2. 
F  F  Used to describe the quotient of two c2 random variables. The Fdistribution has two parameters n1 and n2, which are the numbers of degrees of freedom of the numerator and denominator variable respectively. The relationship to mean m and variance s2 are: m = n2 / (n2  2) and s2 = (2 n2 (n2 + n1  2)) / (n1 (n2  2)2 (n2  4)). 
G  (gamma)  The gammadistribution used for data that is skewed and bounded to the right, i.e. where the maximum of the distribution curve is located near the origin. The gdistribution has a two parameters a and b. The relationship to mean m and variance s2 is m = a b and s2 = a b2. 
LN  lognormal  The logarithmic normal distribution is used to transform skewed random variable X into a normally distributed random variable U = log X. The lognormal 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 lognormal 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. 
N  normal (Gaussian)  This is the wellknown bellshaped normal distribution. Because of the central limit theorem, the normal distribution is the distribution of choice for an unbounded random variable that is an outcome of a combination of many stochastic processes. Even for values bounded on a single side (i.e. greater than 0) the normal distribution may be accurate enough if the mean is "far away" from the bound of the scale measured in terms of standard deviations. 
T  T  Used to describe the quotient of a normal random variable and the square root of a c2 random variable. The tdistribution has one parameter n, the number of degrees of freedom. The relationship to mean m and variance s2 are: m = 0 and s2 = n / (n  2) 
U  uniform  The uniform distribution assigns a constant probability over the entire interval of possible outcomes, while all outcomes outside this interval are assumed to have zero probability. The width of this interval is 2s sqrt(3). Thus, the uniform distribution assigns the probability densities f(x) = sqrt(2 s sqrt(3)) to values m  s sqrt(3) >= x <= m + s sqrt(3) and f(x) = 0 otherwise. 
X2  chi square  Used to describe the sum of squares of random variables which occurs when a variance is estimated (rather than presumed) from the sample. The only parameter of the c2distribution is n, so called the number of degrees of freedom (which is the number of independent parts in the sum). The c2distribution is a special type of gdistribution with parameter a = n /2 and b = 2. Hence, m = n and s2 = 2 n. 
See the full registry of value sets defined as part of FHIR.
Explanation of the columns that may appear on this page:

A
few
code
lists
that
FHIR
defines
are
hierarchical

each
code
is
assigned
a
level.

Source  The source of the definition of the code (when the value set draws in codes defined elsewhere) 
Code  The code (used as the code in the resource instance). If the code is in italics, this indicates that the code is not selectable ('Abstract') 
Display  The display (used in the display element of a Coding ). If there is no display, implementers should not simply display the code, but map the concept into their application 
Definition  An explanation of the meaning of the concept 
Comments  Additional notes about how to use the code 