This article moves on to discuss a type of statistical testing different from those we have discussed previously, namely a General Linear Model. This system incorporates a number of other statistical models and is a powerful tool used widely in modern statistics
This paper provides motivation for the use of mixed linear models (i.e. fixed and random effects mod...
Too many students acquire statistical knowledge and techniques independent of each other. The purpos...
Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Mul...
This article moves on to discuss a type of statistical testing different from those we have discusse...
Linear models are a type of mathematical model commonly used by statisticians in order to capture th...
The validity of inferences drawn from statistical test results depends on how well data meet associa...
An accessible and self-contained introduction to statistical models-now in a modernized new editionG...
This book is concerned with the use of generalized linear models for univariate and multivariate reg...
Continuing to emphasize numerical and graphical methods, An Introduction to Generalized Linear Model...
The validity of inferences drawn from statistical test results depends on how well data meet associa...
This article provides an introduction into the statistical analysis of neuroimaging data using the g...
- Introduces GLMs in a way that enables readers to understand the unifying structure that underpins ...
This book covers two major classes of mixed effects models, linear mixed models and generalized line...
Research Doctorate - Doctor of Philosophy (PhD)Statistical models are an essential part of data anal...
Statistics and biomedical literature have historically had an uneasy alliance. A critical approach t...
This paper provides motivation for the use of mixed linear models (i.e. fixed and random effects mod...
Too many students acquire statistical knowledge and techniques independent of each other. The purpos...
Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Mul...
This article moves on to discuss a type of statistical testing different from those we have discusse...
Linear models are a type of mathematical model commonly used by statisticians in order to capture th...
The validity of inferences drawn from statistical test results depends on how well data meet associa...
An accessible and self-contained introduction to statistical models-now in a modernized new editionG...
This book is concerned with the use of generalized linear models for univariate and multivariate reg...
Continuing to emphasize numerical and graphical methods, An Introduction to Generalized Linear Model...
The validity of inferences drawn from statistical test results depends on how well data meet associa...
This article provides an introduction into the statistical analysis of neuroimaging data using the g...
- Introduces GLMs in a way that enables readers to understand the unifying structure that underpins ...
This book covers two major classes of mixed effects models, linear mixed models and generalized line...
Research Doctorate - Doctor of Philosophy (PhD)Statistical models are an essential part of data anal...
Statistics and biomedical literature have historically had an uneasy alliance. A critical approach t...
This paper provides motivation for the use of mixed linear models (i.e. fixed and random effects mod...
Too many students acquire statistical knowledge and techniques independent of each other. The purpos...
Reviewing the theory of the general linear model (GLM) using a general framework, Univariate and Mul...
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