Terminology Service for NFDI4Health
All terms in MESH
| Label | Id | Description |
|---|---|---|
| Societies, Veterinary | D000077923 | [Organizations having institutional membership limited to veterinarians and veterinary institutions.] |
| Societies | D012952 | [Organizations composed of members with common interests and whose professions may be similar.] |
| Normal Distribution | D016011 | [Continuous frequency distribution of infinite range. Its properties are as follows: 1, continuous, symmetrical distribution with both tails extending to infinity; 2, arithmetic mean, mode, and median identical; and 3, shape completely determined by the mean and standard deviation.] |
| Poisson Distribution | D016012 | [A distribution function used to describe the occurrence of rare events or to describe the sampling distribution of isolated counts in a continuum of time or space.] |
| Likelihood Functions | D016013 | [Functions constructed from a statistical model and a set of observed data which give the probability of that data for various values of the unknown model parameters. Those parameter values that maximize the probability are the maximum likelihood estimates of the parameters.] |
| Models, Statistical | D015233 | [Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.] |
| Probability | D011336 | [The study of chance processes or the relative frequency characterizing a chance process.] |
| Linear Models | D016014 | [Statistical models in which the value of a parameter for a given value of a factor is assumed to be equal to a + bx, where a and b are constants. The models predict a linear regression.] |
| Regression Analysis | D012044 | [Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable.] |
| Logistic Models | D016015 | [Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor.] |
| Risk | D012306 | [The probability that an event will occur. It encompasses a variety of measures of the probability of a generally unfavorable outcome.] |
| Proportional Hazards Models | D016016 | [Statistical models used in survival analysis that assert that the effect of the study factors on the hazard rate in the study population is multiplicative and does not change over time.] |
| Odds Ratio | D016017 | [The ratio of two odds. The exposure-odds ratio for case control data is the ratio of the odds in favor of exposure among cases to the odds in favor of exposure among noncases. The disease-odds ratio for a cohort or cross section is the ratio of the odds in favor of disease among the exposed to the odds in favor of disease among the unexposed. The prevalence-odds ratio refers to an odds ratio derived cross-sectionally from studies of prevalent cases.] |
| Least-Squares Analysis | D016018 | [A principle of estimation in which the estimates of a set of parameters in a statistical model are those quantities minimizing the sum of squared differences between the observed values of a dependent variable and the values predicted by the model., A least squares analysis that minimizes the differences between the calculated and measured values by adjusting the parameters needed to describe the model. It is used for POWDER DIFFRACTION crystallography.] |
| 1-(beta-D-erythrofuranosyl)orotic acid | C578857 | |
| staphylococcal superantigen-like protein 4 | C578858 | |
| enavatuzumab | C578859 | |
| AZD6538 | C578850 | |
| poly(methacrylic acid-co-cholesteryl methacrylate) | C578851 | |
| phloyoside II | C407310 |