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Generated Narrative: ValueSet attribute-estimate-type

Last updated: 2024-04-24 00:00:00+0000

Profile: Shareable ValueSet

Include these codes as defined in https://fevir.net/sevco version ⏿2.0

Code | Display | Definition | 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. | 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. | 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. | 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). | 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. | 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). | 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. | 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. | 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. | 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. | 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. | 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. | 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. | 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. | 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. | 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. | 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. | 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. | 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. | 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'. | 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'. | 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. | 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. | 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. | 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. | 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. | 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. | 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. | 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. | 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. | 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. | 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. | 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. | 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. | 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. | A statistic that represents the likelihood of a parameter of interest, after updating its prior probability with the observed data from the study. |

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

# copyright
This material derives from the HL7 Terminology THO. THO is copyright ©1989+ Health Level Seven International and is made available under the CC0 designation. For more licensing information see: https://terminology.hl7.org/license.html

# compose.include[].concept[].designation[].value
A measure of dispersion calculated as the difference between the maximum observed value and the minimum observed value.

# compose.include[].concept[].designation[].value
A measure of dispersion calculated as the difference between the 75th percentile and the 25th percentile.

# compose.include[].concept[].designation[].value
A measure of dispersion that represents the average of the distances from the mean of the dataset to each data point in the dataset.

# compose.include[].concept[].designation[].value
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).

# compose.include[].concept[].designation[].value
A measure of dispersion that represents the square of the standard deviation.

# compose.include[].concept[].designation[].value
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).

# compose.include[].concept[].designation[].value
A measure of dispersion that is half the relative mean absolute difference between all pairs of observed values.

# compose.include[].concept[].designation[].value
A measure of dispersion applied to estimates across hypothetical repeated random samples.

# compose.include[].concept[].designation[].value
A measure of dispersion applied to means across hypothetical repeated random samples.

# compose.include[].concept[].designation[].value
A measure of dispersion applied to proportions across hypothetical repeated random samples.

# compose.include[].concept[].display
standard error of the difference between independent means

# compose.include[].concept[].designation[].value
A measure of dispersion applied to differences between means of independent groups across hypothetical repeated random samples.

# compose.include[].concept[].display
standard error of the difference between independent proportions

# compose.include[].concept[].designation[].value
A measure of dispersion applied to differences between proportions arising from independent groups across hypothetical repeated random samples.

# compose.include[].concept[].designation[].value
The range in which the value of the parameter of interest is likely to reside, typically within a posterior probability distribution.

# compose.include[].concept[].designation[].value
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.

# compose.include[].concept[].designation[].value
A statistic that represents the variation or spread among values in the set of estimates across studies.

# compose.include[].concept[].designation[].value
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.

# compose.include[].concept[].designation[].value
chi-square test statistic for heterogeneity

# compose.include[].concept[].designation[].value
chi-square test statistic for homogeneity

# compose.include[].concept[].designation[].value
A measure of heterogeneity that estimates the proportion of variability across studies that is in excess of the expected variability due to chance.

# compose.include[].concept[].designation[].value
A measure of heterogeneity that estimates the variance of the distribution of true effect sizes.

# compose.include[].concept[].designation[].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.

# compose.include[].concept[].designation[].value
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'.

# compose.include[].concept[].designation[].value
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'.

# compose.include[].concept[].designation[].value
A hypothesis testing measure that is assumed to follow a chi-square distribution.

# compose.include[].concept[].designation[].value
A chi-square statistic used to test whether two categorical or nominal variables are associated.

# compose.include[].concept[].display
Cochran-Armitage chi-square statistic for trend

# compose.include[].concept[].designation[].value
A chi-square statistic used to test whether a dichotomous variable and an ordinal variable are related.

# compose.include[].concept[].designation[].value
Cochran-Armitage chi-squared statistic for trend

# compose.include[].concept[].designation[].value
A chi-square statistic used to test whether observed data from two or more groups follow the same distribution.

# compose.include[].concept[].display
chi-square statistic for goodness of fit

# compose.include[].concept[].designation[].value
A chi-square statistic used to test whether observed data follows a specified distribution.

# compose.include[].concept[].designation[].value
chi-squared statistic for goodness of fit

# compose.include[].concept[].designation[].value
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.

# compose.include[].concept[].designation[].value
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.

# compose.include[].concept[].designation[].value
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.

# compose.include[].concept[].designation[].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.

# compose.include[].concept[].designation[].value
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.

# compose.include[].concept[].designation[].value
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.

# compose.include[].concept[].designation[].value
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.

# compose.include[].concept[].designation[].value
A statistic that represents the likelihood of a parameter of interest, before accounting for the observed data from the study.

# compose.include[].concept[].designation[].value
A statistic that represents the likelihood of a parameter of interest, after updating its prior probability with the observed data from the study.