ONKI3 | Medical Subject Headings

The ONKI is provided as a part of the ONKI Living Lab - an open lab for testing the latest semantic web technologies in practice, with real users like you. Currently, over 10 000 people are using ONKI each month.

We hope you like the ONKI service and enjoy using it for your purposes!

If you encounter any problems or have improvement ideas, please contact the ONKI team. We are also very much interested in your success stories in using ONKI - please share your experiences!

The ONKI Team

Jouni Tuominen, Living Lab contact person, APIs, widgets, publishing of ontologies, etc.
Eero Hyvönen, professor, head of research group

Former members: Kim Viljanen, Rami Alatalo.

Building the future of the Semantic Web and beyond.

SeCo's homepage
For the latest semantic news, follow us on Twitter and fan us on Facebook!

How can we help you?

Live presentations about ONKI: what it is? how to use it?
Support for creating and publishing ontologies.
Online technical support for using ONKI.
Co-operation in projects.
And more, please ask.

suomeksi på svenska in English

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

The way concept relations are shown: separately in hierarchy

Matched-Pair Analysis

Loading results...


Hierarchy:	Medical Subject Headings (MeSH) ∟ Environment and Public Health ∟ Public Health ∟ Epidemiologic Methods ∟ Epidemiologic Research Design ∟ Matched-Pair Analysis 28 coordinate concepts ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Cluster Analysis \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistical Distributions \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis \| ∟ Control Groups \| ∟ Cross-Over Studies \| ∟ Double-Blind Method \| ∟ Meta-Analysis \| ∟ Random Allocation \| ∟ Reproducibility of Results \| ∟ Sample Size \| ∟ Single-Blind Method Medical Subject Headings (MeSH) ∟ Environment and Public Health ∟ Public Health ∟ Epidemiologic Methods ∟ Statistics ∟ Matched-Pair Analysis 28 coordinate concepts ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Cluster Analysis \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistical Distributions \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis \| ∟ Control Groups \| ∟ Cross-Over Studies \| ∟ Double-Blind Method \| ∟ Meta-Analysis \| ∟ Random Allocation \| ∟ Reproducibility of Results \| ∟ Sample Size \| ∟ Single-Blind Method Medical Subject Headings (MeSH) ∟ Health Care Quality, Access, and Evaluation ∟ Quality of Health Care ∟ Health Care Evaluation Mechanisms ∟ Epidemiologic Research Design ∟ Matched-Pair Analysis 28 coordinate concepts ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Cluster Analysis \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistical Distributions \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis \| ∟ Control Groups \| ∟ Cross-Over Studies \| ∟ Double-Blind Method \| ∟ Meta-Analysis \| ∟ Random Allocation \| ∟ Reproducibility of Results \| ∟ Sample Size \| ∟ Single-Blind Method Medical Subject Headings (MeSH) ∟ Health Care Quality, Access, and Evaluation ∟ Quality of Health Care ∟ Health Care Evaluation Mechanisms ∟ Statistics ∟ Matched-Pair Analysis 28 coordinate concepts ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Cluster Analysis \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistical Distributions \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis \| ∟ Control Groups \| ∟ Cross-Over Studies \| ∟ Double-Blind Method \| ∟ Meta-Analysis \| ∟ Random Allocation \| ∟ Reproducibility of Results \| ∟ Sample Size \| ∟ Single-Blind Method Medical Subject Headings (MeSH) ∟ Health Occupations ∟ Medicine ∟ Specialties, Medical ∟ Public Health ∟ Epidemiologic Methods ∟ Epidemiologic Research Design ∟ Matched-Pair Analysis 28 coordinate concepts ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Cluster Analysis \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistical Distributions \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis \| ∟ Control Groups \| ∟ Cross-Over Studies \| ∟ Double-Blind Method \| ∟ Meta-Analysis \| ∟ Random Allocation \| ∟ Reproducibility of Results \| ∟ Sample Size \| ∟ Single-Blind Method Medical Subject Headings (MeSH) ∟ Health Occupations ∟ Medicine ∟ Specialties, Medical ∟ Public Health ∟ Epidemiologic Methods ∟ Statistics ∟ Matched-Pair Analysis 28 coordinate concepts ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Cluster Analysis \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistical Distributions \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis \| ∟ Control Groups \| ∟ Cross-Over Studies \| ∟ Double-Blind Method \| ∟ Meta-Analysis \| ∟ Random Allocation \| ∟ Reproducibility of Results \| ∟ Sample Size \| ∟ Single-Blind Method Medical Subject Headings (MeSH) ∟ Health Services Administration ∟ Quality of Health Care ∟ Health Care Evaluation Mechanisms ∟ Epidemiologic Research Design ∟ Matched-Pair Analysis 28 coordinate concepts ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Cluster Analysis \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistical Distributions \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis \| ∟ Control Groups \| ∟ Cross-Over Studies \| ∟ Double-Blind Method \| ∟ Meta-Analysis \| ∟ Random Allocation \| ∟ Reproducibility of Results \| ∟ Sample Size \| ∟ Single-Blind Method Medical Subject Headings (MeSH) ∟ Health Services Administration ∟ Quality of Health Care ∟ Health Care Evaluation Mechanisms ∟ Statistics ∟ Matched-Pair Analysis 28 coordinate concepts ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Cluster Analysis \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistical Distributions \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis \| ∟ Control Groups \| ∟ Cross-Over Studies \| ∟ Double-Blind Method \| ∟ Meta-Analysis \| ∟ Random Allocation \| ∟ Reproducibility of Results \| ∟ Sample Size \| ∟ Single-Blind Method Medical Subject Headings (MeSH) ∟ Investigative Techniques ∟ Epidemiologic Methods ∟ Epidemiologic Research Design ∟ Matched-Pair Analysis 28 coordinate concepts ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Cluster Analysis \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistical Distributions \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis \| ∟ Control Groups \| ∟ Cross-Over Studies \| ∟ Double-Blind Method \| ∟ Meta-Analysis \| ∟ Random Allocation \| ∟ Reproducibility of Results \| ∟ Sample Size \| ∟ Single-Blind Method Medical Subject Headings (MeSH) ∟ Investigative Techniques ∟ Epidemiologic Methods ∟ Statistics ∟ Matched-Pair Analysis 28 coordinate concepts ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Cluster Analysis \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistical Distributions \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis \| ∟ Control Groups \| ∟ Cross-Over Studies \| ∟ Double-Blind Method \| ∟ Meta-Analysis \| ∟ Random Allocation \| ∟ Reproducibility of Results \| ∟ Sample Size \| ∟ Single-Blind Method Medical Subject Headings (MeSH) ∟ Natural Sciences ∟ Mathematics ∟ Statistics ∟ Matched-Pair Analysis 28 coordinate concepts ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Cluster Analysis \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistical Distributions \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis \| ∟ Control Groups \| ∟ Cross-Over Studies \| ∟ Double-Blind Method \| ∟ Meta-Analysis \| ∟ Random Allocation \| ∟ Reproducibility of Results \| ∟ Sample Size \| ∟ Single-Blind Method Medical Subject Headings (MeSH) ∟ Population Characteristics ∟ Health ∟ Public Health ∟ Epidemiologic Methods ∟ Epidemiologic Research Design ∟ Matched-Pair Analysis 28 coordinate concepts ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Cluster Analysis \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistical Distributions \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis \| ∟ Control Groups \| ∟ Cross-Over Studies \| ∟ Double-Blind Method \| ∟ Meta-Analysis \| ∟ Random Allocation \| ∟ Reproducibility of Results \| ∟ Sample Size \| ∟ Single-Blind Method Medical Subject Headings (MeSH) ∟ Population Characteristics ∟ Health ∟ Public Health ∟ Epidemiologic Methods ∟ Statistics ∟ Matched-Pair Analysis 28 coordinate concepts ∟ Actuarial Analysis \| ∟ Analysis of Variance \| ∟ Area Under Curve \| ∟ Biometry \| ∟ Cluster Analysis \| ∟ Confidence Intervals \| ∟ Data Interpretation, Statistical \| ∟ Discriminant Analysis \| ∟ Factor Analysis, Statistical \| ∟ Models, Statistical \| ∟ Monte Carlo Method \| ∟ Principal Component Analysis \| ∟ Probability \| ∟ Regression Analysis \| ∟ ROC Curve \| ∟ Sensitivity and Specificity \| ∟ Statistical Distributions \| ∟ Statistics, Nonparametric \| ∟ Stochastic Processes \| ∟ Survival Analysis \| ∟ Control Groups \| ∟ Cross-Over Studies \| ∟ Double-Blind Method \| ∟ Meta-Analysis \| ∟ Random Allocation \| ∟ Reproducibility of Results \| ∟ Sample Size \| ∟ Single-Blind Method X
Broader terms:	Medical Subject Headings (MeSH) ∟ Environment and Public Health ∟ Public Health ∟ Epidemiologic Methods ∟ Epidemiologic Research Design ∟ Matched-Pair Analysis Medical Subject Headings (MeSH) ∟ Environment and Public Health ∟ Public Health ∟ Epidemiologic Methods ∟ Statistics ∟ Matched-Pair Analysis Medical Subject Headings (MeSH) ∟ Health Care Quality, Access, and Evaluation ∟ Quality of Health Care ∟ Health Care Evaluation Mechanisms ∟ Epidemiologic Research Design ∟ Matched-Pair Analysis Medical Subject Headings (MeSH) ∟ Health Care Quality, Access, and Evaluation ∟ Quality of Health Care ∟ Health Care Evaluation Mechanisms ∟ Statistics ∟ Matched-Pair Analysis Medical Subject Headings (MeSH) ∟ Health Occupations ∟ Medicine ∟ Specialties, Medical ∟ Public Health ∟ Epidemiologic Methods ∟ Epidemiologic Research Design ∟ Matched-Pair Analysis Medical Subject Headings (MeSH) ∟ Health Occupations ∟ Medicine ∟ Specialties, Medical ∟ Public Health ∟ Epidemiologic Methods ∟ Statistics ∟ Matched-Pair Analysis Medical Subject Headings (MeSH) ∟ Health Services Administration ∟ Quality of Health Care ∟ Health Care Evaluation Mechanisms ∟ Epidemiologic Research Design ∟ Matched-Pair Analysis Medical Subject Headings (MeSH) ∟ Health Services Administration ∟ Quality of Health Care ∟ Health Care Evaluation Mechanisms ∟ Statistics ∟ Matched-Pair Analysis Medical Subject Headings (MeSH) ∟ Investigative Techniques ∟ Epidemiologic Methods ∟ Epidemiologic Research Design ∟ Matched-Pair Analysis Medical Subject Headings (MeSH) ∟ Investigative Techniques ∟ Epidemiologic Methods ∟ Statistics ∟ Matched-Pair Analysis Medical Subject Headings (MeSH) ∟ Natural Sciences ∟ Mathematics ∟ Statistics ∟ Matched-Pair Analysis Medical Subject Headings (MeSH) ∟ Population Characteristics ∟ Health ∟ Public Health ∟ Epidemiologic Methods ∟ Epidemiologic Research Design ∟ Matched-Pair Analysis Medical Subject Headings (MeSH) ∟ Population Characteristics ∟ Health ∟ Public Health ∟ Epidemiologic Methods ∟ Statistics ∟ Matched-Pair Analysis Epidemiologic Research Design > Epidemiologic Methods > Public Health > Environment and Public Health > Medical Subject Headings (MeSH) Statistics > Epidemiologic Methods > Public Health > Environment and Public Health > Medical Subject Headings (MeSH) Epidemiologic Research Design > Health Care Evaluation Mechanisms > Quality of Health Care > Health Care Quality, Access, and Evaluation > Medical Subject Headings (MeSH) Statistics > Health Care Evaluation Mechanisms > Quality of Health Care > Health Care Quality, Access, and Evaluation > Medical Subject Headings (MeSH) Epidemiologic Research Design > Epidemiologic Methods > Public Health > Specialties, Medical > Medicine > Health Occupations > Medical Subject Headings (MeSH) Statistics > Epidemiologic Methods > Public Health > Specialties, Medical > Medicine > Health Occupations > Medical Subject Headings (MeSH) Epidemiologic Research Design > Health Care Evaluation Mechanisms > Quality of Health Care > Health Services Administration > Medical Subject Headings (MeSH) Statistics > Health Care Evaluation Mechanisms > Quality of Health Care > Health Services Administration > Medical Subject Headings (MeSH) Epidemiologic Research Design > Epidemiologic Methods > Investigative Techniques > Medical Subject Headings (MeSH) Statistics > Epidemiologic Methods > Investigative Techniques > Medical Subject Headings (MeSH) Statistics > Mathematics > Natural Sciences > Medical Subject Headings (MeSH) Epidemiologic Research Design > Epidemiologic Methods > Public Health > Health > Population Characteristics > Medical Subject Headings (MeSH) Statistics > Epidemiologic Methods > Public Health > Health > Population Characteristics > Medical Subject Headings (MeSH) X
Annotation:	IM GEN only; coord NIM with specific disease or other concept (IM) + matched parameter (e.g. age, sex, physiol state) (IM or NIM); no qualif X
historyNote*:	92 X
publicMeSHNote*:	92 X
Scope note:	A type of analysis in which subjects in a study group and a comparison group are made comparable with respect to extraneous factors by individually pairing study subjects with the comparison group subjects (e.g., age-matched controls). X
activeMeSHYear*:	2002 \| 2003 \| 2004 \| 2005 \| 2006 \| 2007X
dateCreated*:	1991-06-20X
dateEstablished*:	1992-01-01X
dateRevised*:	2001-07-25X
recordAuthorizer*:	sjnX
recordMaintainer*:	agsX
recordOriginator*:	JHMX
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 \| Models, Statistical \| Monte Carlo Method \| Principal Component Analysis \| Probability \| Regression Analysis \| ROC Curve \| Sensitivity and Specificity \| Statistical Distributions \| Statistics, Nonparametric \| Stochastic Processes \| Survival Analysis \| Control Groups \| Cross-Over Studies \| Double-Blind Method \| Meta-Analysis \| Random Allocation \| Reproducibility of Results \| Sample Size \| Single-Blind Method X
URI:	X
Labels and equivalent concepts:	Tapaus-verrokkianalyysi (fi) Parikaltaistusanalyysi (fi, replaced) Analysis, Matched-Pair (en, replaced) X
Share:	X