Method of reporting variability of estimates, such as confidence intervals, interquartile range or standard deviation.

• Include these codes as defined in https://fevir.net/sevco version Not Stated (use latest from terminology server)

  Code	Display	Definition (core metadata concept)	Synonym (core metadata concept)
  STATO:0000035	range	A measure of dispersion calculated as the difference between the maximum observed value and the minimum observed value.
  STATO:00000164	interquartile range	A measure of dispersion calculated as the difference between the 75th percentile and the 25th percentile.	median IQR
  STATO:0000237	standard deviation	A measure of dispersion that represents the average of the distances from the mean of the dataset to each data point in the dataset.	SD
  STATO:0000684	standard deviation for sample	A standard deviation that is the square root of the quotient of the summation across data points of the square of the distance from each data point to the sample mean, and the degrees of freedom (where the degrees of freedom is sample size minus one).	s
  STATO:0000113	variance	A measure of dispersion that represents the square of the standard deviation.
  STATO:0000643	variance for sample	A variance that is the quotient of the summation across data points of the square of the distance from each data point to the sample mean, and the degrees of freedom (where the degrees of freedom is sample size minus one).	Var
  STATO:0000624	Gini index	A measure of dispersion that is half the relative mean absolute difference between all pairs of observed values.	Gini coefficient
  STATO:0000562	standard error	A measure of dispersion applied to estimates across hypothetical repeated random samples.	standard error of the estimate
  STATO:0000037	standard error of the mean	A measure of dispersion applied to means across hypothetical repeated random samples.	SEM
  STATO:0000647	standard error of the proportion	A measure of dispersion applied to proportions across hypothetical repeated random samples.
  STATO:0000648	standard error of the difference between independent means	A measure of dispersion applied to differences between means of independent groups across hypothetical repeated random samples.
  STATO:0000649	standard error of the difference between independent proportions	A measure of dispersion applied to differences between proportions arising from independent groups across hypothetical repeated random samples.
  STATO:0000455	credible interval	The range in which the value of the parameter of interest is likely to reside, typically within a posterior probability distribution.	region of highest posterior density
  STATO:0000196	confidence interval	The estimated range of values that encompasses the point estimate and quantifies the uncertainty about that estimate in terms of a prespecified level of coverage, expected to include the true value between upper and lower bounds, across hypothetically repeated random samples, with all assumptions regarding the sampling distribution across random samples having been fully met.
  STATO:0000418	measure of heterogeneity	A statistic that represents the variation or spread among values in the set of estimates across studies.	measure of statistical heterogeneity
  STATO:0000419	Cochran's Q	A measure of heterogeneity, based on the chi-square statistic, for reporting an analytic finding regarding whether two or more multinomial distributions are equal, accounting for chance variability.	Cochran's Q test statistic
  STATO:0000420	I-squared	A measure of heterogeneity that estimates the proportion of variability across studies that is in excess of the expected variability due to chance.	I-square
  STATO:0000421	tau squared	A measure of heterogeneity that estimates the variance of the distribution of true effect sizes.	tau2
  STATO:0000700	p-value	A hypothesis testing measure that represents the probability of obtaining a result at least as far from the value actually obtained as the value expected, assuming the null hypothesis is true.	P-value
  STATO:0000661	p-value for one-sided test	A p-value which represents the probability of obtaining a result at least as far, in one direction, from the value actually obtained as the value expected, assuming the null hypothesis is true. A p-value for one-sided test interprets 'at least as far from' with only one of two directions, either the direction of 'greater than' or the direction of 'less than'.	one-tailed p-value
  STATO:0000662	p-value for two-sided test	A p-value which represents the probability of obtaining a result at least as far, in either direction, from the value actually obtained as the value expected, assuming the null hypothesis is true. A p-value for two-sided test interprets 'at least as far from' with both the direction of 'greater than' and the direction of 'less than'.	two-tailed p-value
  STATO:0000030	chi-square statistic	A hypothesis testing measure that is assumed to follow a chi-square distribution.	chi-squared statistic
  STATO:0000081	chi-square statistic for independence	A chi-square statistic used to test whether two categorical or nominal variables are associated.	chi-squared statistic for independence
  STATO:0000708	Cochran-Armitage chi-square statistic for trend	A chi-square statistic used to test whether a dichotomous variable and an ordinal variable are related.	Cochran-Armitage statistic
  STATO:0000698	chi-square statistic for homogeneity	A chi-square statistic used to test whether observed data from two or more groups follow the same distribution.	chi-squared statistic for homogeneity
  STATO:0000309	chi-square statistic for goodness of fit	A chi-square statistic used to test whether observed data follows a specified distribution.	chi-squared statistic for goodness of fit
  STATO:0000376	z-statistic	A hypothesis testing measure that is a z-score where the specified mean is based on the null hypothesis and the standard deviation is based on the observed data.
  STATO:0000176	t-statistic	A hypothesis testing measure that is a t-score where the specified mean is based on the null hypothesis, the standard error is based on the observed data, and the degrees of freedom is based on the sample size.	Student's t statistic
  STATO:0000266	Bayes factor	A hypothesis testing measure that is a ratio of the probability of the observed data under one hypothesis divided by the probability of the same observed data under a different hypothesis.
  STATO:0000660	posterior predictive p-value	A hypothesis testing measure that is the probability that a statistic value derived from a posterior predictive distribution under the assumptions of the model is equal to or more extreme than the observed posterior value of the statistic.	Bayes p-value
  STATO:0000069	degrees of freedom	A statistic that represents the number of independent values used to calculate a statistical estimate. The number of degrees of freedom ν is equal to the number of independent units of information given the model.	number of degrees of freedom
  STATO:0000104	z-score	A statistic that represents a measure of the divergence of an individual experimental result from a specified mean, expressed in terms of the number of standard deviations from the mean value.	z-value
  STATO:0000699	t-score	A statistic that represents a measure of the divergence of an individual experimental result from a specified mean, taking sample size into account and expressed in terms of the number of standard errors from the mean value.	t-value
  STATO:0000702	prior probability	A statistic that represents the likelihood of a parameter of interest, before accounting for the observed data from the study.
  STATO:0000703	posterior probability	A statistic that represents the likelihood of a parameter of interest, after updating its prior probability with the observed data from the study.

Expansion from tx.fhir.org based on codesystem sevco version 3.0

This value set contains 35 concepts

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