ONKI3 | Medical Subject Headings

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The way property values are displayed: value/row values side by side

The way concept relations are shown: separately in hierarchy

Statistical Distributions

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Hierarchy:	Medical Subject Headings (MeSH) ∟ Environment and Public Health ∟ Public Health ∟ Epidemiologic Methods ∟ Statistics ∟ Statistical Distributions 20 coordinate concepts 4 subordinate concepts ∟ Binomial Distribution \| ∟ Chi-Square Distribution \| ∟ Normal Distribution \| ∟ Poisson Distribution ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Cluster Analysis \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Matched-Pair Analysis \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis Medical Subject Headings (MeSH) ∟ Health Care Quality, Access, and Evaluation ∟ Quality of Health Care ∟ Health Care Evaluation Mechanisms ∟ Statistics ∟ Statistical Distributions 20 coordinate concepts 4 subordinate concepts ∟ Binomial Distribution \| ∟ Chi-Square Distribution \| ∟ Normal Distribution \| ∟ Poisson Distribution ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Cluster Analysis \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Matched-Pair Analysis \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis Medical Subject Headings (MeSH) ∟ Health Occupations ∟ Medicine ∟ Specialties, Medical ∟ Public Health ∟ Epidemiologic Methods ∟ Statistics ∟ Statistical Distributions 20 coordinate concepts 4 subordinate concepts ∟ Binomial Distribution \| ∟ Chi-Square Distribution \| ∟ Normal Distribution \| ∟ Poisson Distribution ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Cluster Analysis \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Matched-Pair Analysis \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis Medical Subject Headings (MeSH) ∟ Health Services Administration ∟ Quality of Health Care ∟ Health Care Evaluation Mechanisms ∟ Statistics ∟ Statistical Distributions 20 coordinate concepts 4 subordinate concepts ∟ Binomial Distribution \| ∟ Chi-Square Distribution \| ∟ Normal Distribution \| ∟ Poisson Distribution ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Cluster Analysis \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Matched-Pair Analysis \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis Medical Subject Headings (MeSH) ∟ Investigative Techniques ∟ Epidemiologic Methods ∟ Statistics ∟ Statistical Distributions 20 coordinate concepts 4 subordinate concepts ∟ Binomial Distribution \| ∟ Chi-Square Distribution \| ∟ Normal Distribution \| ∟ Poisson Distribution ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Cluster Analysis \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Matched-Pair Analysis \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis Medical Subject Headings (MeSH) ∟ Natural Sciences ∟ Mathematics ∟ Statistics ∟ Statistical Distributions 20 coordinate concepts 4 subordinate concepts ∟ Binomial Distribution \| ∟ Chi-Square Distribution \| ∟ Normal Distribution \| ∟ Poisson Distribution ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Cluster Analysis \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Matched-Pair Analysis \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis Medical Subject Headings (MeSH) ∟ Population Characteristics ∟ Health ∟ Public Health ∟ Epidemiologic Methods ∟ Statistics ∟ Statistical Distributions 20 coordinate concepts 4 subordinate concepts ∟ Binomial Distribution \| ∟ Chi-Square Distribution \| ∟ Normal Distribution \| ∟ Poisson Distribution ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Cluster Analysis \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Matched-Pair Analysis \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis X
Broader terms:	Medical Subject Headings (MeSH) ∟ Environment and Public Health ∟ Public Health ∟ Epidemiologic Methods ∟ Statistics ∟ Statistical Distributions Medical Subject Headings (MeSH) ∟ Health Care Quality, Access, and Evaluation ∟ Quality of Health Care ∟ Health Care Evaluation Mechanisms ∟ Statistics ∟ Statistical Distributions Medical Subject Headings (MeSH) ∟ Health Occupations ∟ Medicine ∟ Specialties, Medical ∟ Public Health ∟ Epidemiologic Methods ∟ Statistics ∟ Statistical Distributions Medical Subject Headings (MeSH) ∟ Health Services Administration ∟ Quality of Health Care ∟ Health Care Evaluation Mechanisms ∟ Statistics ∟ Statistical Distributions Medical Subject Headings (MeSH) ∟ Investigative Techniques ∟ Epidemiologic Methods ∟ Statistics ∟ Statistical Distributions Medical Subject Headings (MeSH) ∟ Natural Sciences ∟ Mathematics ∟ Statistics ∟ Statistical Distributions Medical Subject Headings (MeSH) ∟ Population Characteristics ∟ Health ∟ Public Health ∟ Epidemiologic Methods ∟ Statistics ∟ Statistical Distributions Statistics > Epidemiologic Methods > Public Health > Environment and Public Health > Medical Subject Headings (MeSH) Statistics > Health Care Evaluation Mechanisms > Quality of Health Care > Health Care Quality, Access, and Evaluation > Medical Subject Headings (MeSH) Statistics > Epidemiologic Methods > Public Health > Specialties, Medical > Medicine > Health Occupations > Medical Subject Headings (MeSH) Statistics > Health Care Evaluation Mechanisms > Quality of Health Care > Health Services Administration > Medical Subject Headings (MeSH) Statistics > Epidemiologic Methods > Investigative Techniques > Medical Subject Headings (MeSH) Statistics > Mathematics > Natural Sciences > Medical Subject Headings (MeSH) Statistics > Epidemiologic Methods > Public Health > Health > Population Characteristics > Medical Subject Headings (MeSH) X
Narrower terms:	Binomial Distribution \| Chi-Square Distribution \| Normal Distribution \| Poisson Distribution X
Annotation:	how many or what proportion of a group has a given value: read MeSH definition; GEN or unspecified: prefer specifics; IM; coord with subject of data /epidemiol or /statist (IM); DF: STATIST DISTRIBUTIONS X
historyNote*:	98; use explode 1990-97 X
publicMeSHNote*:	98 X
Scope note:	The complete summaries of the frequencies of the values or categories of a measurement made on a group of items, a population, or other collection of data. The distribution tells either how many or what proportion of the group was found to have each value (or each range of values) out of all the possible values that the quantitative measure can have. X
activeMeSHYear*:	1998 \| 1999 \| 2000 \| 2001 \| 2002 \| 2003 \| 2004 \| 2005 \| 2006 \| 2007X
dateCreated*:	1989-05-25X
dateEstablished*:	1998-01-01X
dateRevised*:	1997-06-20X
recordAuthorizer*:	SJNX
recordMaintainer*:	TGCX
recordOriginator*:	PLSX
Type:	Concept X
Coordinate terms:	Actuarial Analysis \| Analysis of Variance \| Area Under Curve \| Biometry \| Cluster Analysis \| Confidence Intervals \| Data Interpretation, Statistical \| Discriminant Analysis \| Factor Analysis, Statistical \| Matched-Pair Analysis \| Models, Statistical \| Monte Carlo Method \| Principal Component Analysis \| Probability \| Regression Analysis \| ROC Curve \| Sensitivity and Specificity \| Statistics, Nonparametric \| Stochastic Processes \| Survival Analysis X
URI:	X
Labels and equivalent concepts:	Tilastolliset jakaumat (fi) Todennäköisyysjakaumat (fi, replaced) Todennäköisyysjakauma (fi, replaced) Tilastollinen jakauma (fi, replaced) X
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