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27 relations: Akaike information criterion, Biometrics (journal), Cohort study, Consistency (statistics), Correlation and dependence, Covariance, Epidemiology, Estimator, Fisher information, Generalized linear mixed model, Generalized linear model, Hessian matrix, Heteroscedasticity-consistent standard errors, Likelihood function, Likelihood-ratio test, MATLAB, Moment (mathematics), Newton's method, R (programming language), Regression analysis, SAS (software), Score test, Semiparametric model, SPSS, Stata, Statistics, Wald test.
Akaike information criterion
The Akaike information criterion (AIC) is an estimator of the relative quality of statistical models for a given set of data.
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Biometrics (journal)
Biometrics is a journal that publishes articles on the application of statistics and mathematics to the biological sciences.
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Cohort study
A cohort study is a particular form of longitudinal study that sample a cohort (a group of people who share a defining characteristic, typically those who experienced a common event in a selected period, such as birth or graduation), performing a cross-section at intervals through time.
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Consistency (statistics)
In statistics, consistency of procedures, such as computing confidence intervals or conducting hypothesis tests, is a desired property of their behaviour as the number of items in the data set to which they are applied increases indefinitely.
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Correlation and dependence
In statistics, dependence or association is any statistical relationship, whether causal or not, between two random variables or bivariate data.
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Covariance
In probability theory and statistics, covariance is a measure of the joint variability of two random variables.
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Epidemiology
Epidemiology is the study and analysis of the distribution (who, when, and where) and determinants of health and disease conditions in defined populations.
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Estimator
In statistics, an estimator is a rule for calculating an estimate of a given quantity based on observed data: thus the rule (the estimator), the quantity of interest (the estimand) and its result (the estimate) are distinguished.
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Fisher information
In mathematical statistics, the Fisher information (sometimes simply called information) is a way of measuring the amount of information that an observable random variable X carries about an unknown parameter θ of a distribution that models X. Formally, it is the variance of the score, or the expected value of the observed information.
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Generalized linear mixed model
In statistics, a generalized linear mixed model (GLMM) is an extension to the generalized linear model (GLM) in which the linear predictor contains random effects in addition to the usual fixed effects.
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Generalized linear model
In statistics, the generalized linear model (GLM) is a flexible generalization of ordinary linear regression that allows for response variables that have error distribution models other than a normal distribution.
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Hessian matrix
In mathematics, the Hessian matrix or Hessian is a square matrix of second-order partial derivatives of a scalar-valued function, or scalar field.
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Heteroscedasticity-consistent standard errors
The topic of heteroscedasticity-consistent (HC) standard errors arises in statistics and econometrics in the context of linear regression as well as time series analysis.
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Likelihood function
In frequentist inference, a likelihood function (often simply the likelihood) is a function of the parameters of a statistical model, given specific observed data.
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Likelihood-ratio test
In statistics, a likelihood ratio test (LR test) is a statistical test used for comparing the goodness of fit of two statistical models — a null model against an alternative model.
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MATLAB
MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and proprietary programming language developed by MathWorks.
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Moment (mathematics)
In mathematics, a moment is a specific quantitative measure, used in both mechanics and statistics, of the shape of a set of points.
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Newton's method
In numerical analysis, Newton's method (also known as the Newton–Raphson method), named after Isaac Newton and Joseph Raphson, is a method for finding successively better approximations to the roots (or zeroes) of a real-valued function.
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R (programming language)
R is a programming language and free software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing.
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Regression analysis
In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships among variables.
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SAS (software)
SAS (previously "Statistical Analysis System") is a software suite developed by SAS Institute for advanced analytics, multivariate analyses, business intelligence, data management, and predictive analytics.
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Score test
Rao's score test, also known as the score test or the Lagrange multiplier test (LM test) in econometrics, is a statistical test of a simple null hypothesis that a parameter of interest \theta is equal to some particular value \theta_0.
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Semiparametric model
In statistics, a semiparametric model is a statistical model that has parametric and nonparametric components.
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SPSS
SPSS Statistics is a software package used for interactive, or batched, statistical analysis.
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Stata
Stata is a general-purpose statistical software package created in 1985 by StataCorp.
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Statistics
Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data.
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Wald test
The Wald test is a parametric statistical test named after the statistician Abraham Wald.
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References
[1] https://en.wikipedia.org/wiki/Generalized_estimating_equation
