ONKI3 | Medical Subject Headings

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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

Sensitivity and Specificity

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Hierarchy:	Medical Subject Headings (MeSH) ∟ Environment and Public Health ∟ Public Health ∟ Epidemiologic Methods ∟ Epidemiologic Research Design ∟ Sensitivity and Specificity 28 coordinate concepts 2 subordinate concepts ∟ Predictive Value of Tests \| ∟ ROC Curve ∟ 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 \| ∟ 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 ∟ Sensitivity and Specificity 28 coordinate concepts 2 subordinate concepts ∟ Predictive Value of Tests \| ∟ ROC Curve ∟ 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 \| ∟ 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 ∟ Sensitivity and Specificity 28 coordinate concepts 2 subordinate concepts ∟ Predictive Value of Tests \| ∟ ROC Curve ∟ 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 \| ∟ 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 ∟ Sensitivity and Specificity 28 coordinate concepts 2 subordinate concepts ∟ Predictive Value of Tests \| ∟ ROC Curve ∟ 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 \| ∟ 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 ∟ Sensitivity and Specificity 28 coordinate concepts 2 subordinate concepts ∟ Predictive Value of Tests \| ∟ ROC Curve ∟ 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 \| ∟ 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 ∟ Sensitivity and Specificity 28 coordinate concepts 2 subordinate concepts ∟ Predictive Value of Tests \| ∟ ROC Curve ∟ 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 \| ∟ 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 ∟ Sensitivity and Specificity 28 coordinate concepts 2 subordinate concepts ∟ Predictive Value of Tests \| ∟ ROC Curve ∟ 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 \| ∟ 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 ∟ Sensitivity and Specificity 28 coordinate concepts 2 subordinate concepts ∟ Predictive Value of Tests \| ∟ ROC Curve ∟ 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 \| ∟ 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 ∟ Sensitivity and Specificity 28 coordinate concepts 2 subordinate concepts ∟ Predictive Value of Tests \| ∟ ROC Curve ∟ 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 \| ∟ 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 ∟ Sensitivity and Specificity 28 coordinate concepts 2 subordinate concepts ∟ Predictive Value of Tests \| ∟ ROC Curve ∟ 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 \| ∟ 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 ∟ Sensitivity and Specificity 28 coordinate concepts 2 subordinate concepts ∟ Predictive Value of Tests \| ∟ ROC Curve ∟ 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 \| ∟ 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 ∟ Sensitivity and Specificity 28 coordinate concepts 2 subordinate concepts ∟ Predictive Value of Tests \| ∟ ROC Curve ∟ 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 \| ∟ 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 ∟ Sensitivity and Specificity 28 coordinate concepts 2 subordinate concepts ∟ Predictive Value of Tests \| ∟ ROC Curve ∟ 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 \| ∟ 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 ∟ Sensitivity and Specificity Medical Subject Headings (MeSH) ∟ Environment and Public Health ∟ Public Health ∟ Epidemiologic Methods ∟ Statistics ∟ Sensitivity and Specificity Medical Subject Headings (MeSH) ∟ Health Care Quality, Access, and Evaluation ∟ Quality of Health Care ∟ Health Care Evaluation Mechanisms ∟ Epidemiologic Research Design ∟ Sensitivity and Specificity Medical Subject Headings (MeSH) ∟ Health Care Quality, Access, and Evaluation ∟ Quality of Health Care ∟ Health Care Evaluation Mechanisms ∟ Statistics ∟ Sensitivity and Specificity Medical Subject Headings (MeSH) ∟ Health Occupations ∟ Medicine ∟ Specialties, Medical ∟ Public Health ∟ Epidemiologic Methods ∟ Epidemiologic Research Design ∟ Sensitivity and Specificity Medical Subject Headings (MeSH) ∟ Health Occupations ∟ Medicine ∟ Specialties, Medical ∟ Public Health ∟ Epidemiologic Methods ∟ Statistics ∟ Sensitivity and Specificity Medical Subject Headings (MeSH) ∟ Health Services Administration ∟ Quality of Health Care ∟ Health Care Evaluation Mechanisms ∟ Epidemiologic Research Design ∟ Sensitivity and Specificity Medical Subject Headings (MeSH) ∟ Health Services Administration ∟ Quality of Health Care ∟ Health Care Evaluation Mechanisms ∟ Statistics ∟ Sensitivity and Specificity Medical Subject Headings (MeSH) ∟ Investigative Techniques ∟ Epidemiologic Methods ∟ Epidemiologic Research Design ∟ Sensitivity and Specificity Medical Subject Headings (MeSH) ∟ Investigative Techniques ∟ Epidemiologic Methods ∟ Statistics ∟ Sensitivity and Specificity Medical Subject Headings (MeSH) ∟ Natural Sciences ∟ Mathematics ∟ Statistics ∟ Sensitivity and Specificity Medical Subject Headings (MeSH) ∟ Population Characteristics ∟ Health ∟ Public Health ∟ Epidemiologic Methods ∟ Epidemiologic Research Design ∟ Sensitivity and Specificity Medical Subject Headings (MeSH) ∟ Population Characteristics ∟ Health ∟ Public Health ∟ Epidemiologic Methods ∟ Statistics ∟ Sensitivity and Specificity 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
Narrower terms:	Predictive Value of Tests \| ROC Curve X
Annotation:	IM general only; coordinate (NIM) with specific concept (IM) X
historyNote*:	91; was SENSITIVITY AND SPECIFICITY (EPIDEMIOLOGY) 1987-90 X
onlineNote*:	use SENSITIVITY AND SPECIFICITY to search SENSITIVITY AND SPECIFICITY (EPIDEMIOLOGY) 1987-90 X
publicMeSHNote*:	91; was SENSITIVITY AND SPECIFICITY (EPIDEMIOLOGY) 1987-90 X
Scope note:	Measures for assessing the results of diagnostic and screening tests. Sensitivity represents the proportion of truly diseased persons in a screened population who are identified as being diseased by the test. It is a measure of the probability of correctly diagnosing a condition. Specificity is the proportion of truly nondiseased persons who are so identified by the screening test. It is a measure of the probability of correctly identifying a nondiseased person. (From Last, Dictionary of Epidemiology, 2d ed) X
activeMeSHYear*:	2006 \| 2007X
dateCreated*:	1986-03-25X
dateEstablished*:	1987-01-01X
dateRevised*:	2005-06-30X
recordAuthorizer*:	sjnX
recordMaintainer*:	ssbX
recordOriginator*:	ECX
Related term:	Diagnostic Techniques and Procedures X
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 \| 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:	Herkkyys ja tarkkuus (fi) Sensitiviteetti ja spesifiteetti (fi, replaced) Sensitiivisyys ja spesifisyys (fi, replaced) Sensitivitet och specificitet (sv) X
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