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11 relations: Analysis of clinical trials, Estimating equations, Gee, Generalized linear mixed model, Generalized linear model, Heteroscedasticity-consistent standard errors, Inverse probability weighting, Lasso (statistics), List of analyses of categorical data, List of statistics articles, Statistical inference.
Analysis of clinical trials
The analysis of clinical trials involves a large number of related topics including.
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Estimating equations
In statistics, the method of estimating equations is a way of specifying how the parameters of a statistical model should be estimated.
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Gee
Gee is the phonetic pronunciation of the letter G. Gee or GEE may also refer to.
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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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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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Inverse probability weighting
Inverse probability weighting is a statistical technique for calculating statistics standardized to a population different from that in which the data was collected.
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Lasso (statistics)
In statistics and machine learning, lasso (least absolute shrinkage and selection operator) (also Lasso or LASSO) is a regression analysis method that performs both variable selection and regularization in order to enhance the prediction accuracy and interpretability of the statistical model it produces.
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List of analyses of categorical data
This a list of statistical procedures which can be used for the analysis of categorical data, also known as data on the nominal scale and as categorical variables.
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List of statistics articles
No description.
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Statistical inference
Statistical inference is the process of using data analysis to deduce properties of an underlying probability distribution.
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Generalised estimating equation, Generalised estimating equations, Generalized estimating equations.
References
[1] https://en.wikipedia.org/wiki/Generalized_estimating_equation
