General Linear Model

Comparación de cuatro modelos de regresión para el estudio de factores de riesgo de hato para datos binomiales correlacionados Comparison of four regression models for the study of herd risk factors for binomial correlated data

Logistic Regression / Parameter estimation / Risk factors / Regression Model / Random-Effects Models / General Linear Model / Analysis of correlated data / Risk Factors / Logistic Regression Model / Normal Distribution / Degree of Freedom / Fixed Effects / General Linear Model / Analysis of correlated data / Risk Factors / Logistic Regression Model / Normal Distribution / Degree of Freedom / Fixed Effects

Latent Covariates in Generalized Linear Models: A Rasch Model Approach

Occupational Health / Rasch Analysis / Applied Research / Latent variable modeling / Rasch Models / Work Environment / Measurement Error / Regression Model / General Linear Model / Rasch Model / Work Environment / Measurement Error / Regression Model / General Linear Model / Rasch Model

Pearson residual and efficiency of parameter estimates in generalized linear model

Statistics / Data Analysis / Clinical Trial / Biometrics / Parameter estimation / Multivariate Analysis / Variance / Correlation / Fisher information / Sample Survey / Medical Science / Sample Size / Heteroscedasticity / Exponential family / Hierarchical Generalized Linear Model / IRT-likelihood Ratio / General Linear Model / Exponential distribution / Covariance analysis / Linear Regression / Variance Analysis / Covariance / Statistical Regression / Variance Estimation / Covariance Estimation / Multivariate Analysis / Variance / Correlation / Fisher information / Sample Survey / Medical Science / Sample Size / Heteroscedasticity / Exponential family / Hierarchical Generalized Linear Model / IRT-likelihood Ratio / General Linear Model / Exponential distribution / Covariance analysis / Linear Regression / Variance Analysis / Covariance / Statistical Regression / Variance Estimation / Covariance Estimation

A Bayesian spatiotemporal model for very large data sets

Algorithms / Statistical Analysis / Magnetic Resonance Imaging / Functional MRI / Linear models / Brain / Humans / Variational Bayes / Computer Simulation / Sampling methods / Neuroimage / Regression Analysis / Three Dimensional Imaging / Spatial Information / Approximate Inference / Bayesian model / Time Factors / General Linear Model / Comparative modeling / Large Data Sets / Spatial Correlation / Bayes Theorem / Normal Distribution / Serial Correlation / Gaussian Markov Random Field / graph Laplacian / Random Field / Brain / Humans / Variational Bayes / Computer Simulation / Sampling methods / Neuroimage / Regression Analysis / Three Dimensional Imaging / Spatial Information / Approximate Inference / Bayesian model / Time Factors / General Linear Model / Comparative modeling / Large Data Sets / Spatial Correlation / Bayes Theorem / Normal Distribution / Serial Correlation / Gaussian Markov Random Field / graph Laplacian / Random Field

Dimensionality reduction via sparse support vector machines

Machine Learning / Linear Model / Variable Selection / Drug Design / Support vector machine / General Linear Model / Pattern Search / Correlation coefficient / Side Effect / The Machine / Nonlinear Model / Synthetic Data Generation / Attribute Selection / General Linear Model / Pattern Search / Correlation coefficient / Side Effect / The Machine / Nonlinear Model / Synthetic Data Generation / Attribute Selection

Dimensionality reduction via sparse support vector machines

Machine Learning / Linear Model / Variable Selection / Drug Design / Support vector machine / General Linear Model / Pattern Search / Correlation coefficient / Side Effect / The Machine / Nonlinear Model / Synthetic Data Generation / Attribute Selection / General Linear Model / Pattern Search / Correlation coefficient / Side Effect / The Machine / Nonlinear Model / Synthetic Data Generation / Attribute Selection

Latent Covariates in Generalized Linear Models: A Rasch Model Approach

Occupational Health / Rasch Analysis / Applied Research / Latent variable modeling / Rasch Models / Work Environment / Measurement Error / Regression Model / General Linear Model / Rasch Model / Work Environment / Measurement Error / Regression Model / General Linear Model / Rasch Model

Diagnostic Measures for Model Criticism

Econometrics / Statistics / Variable Selection / Goodness of Fit / Outlier detection / Bayesian hierarchical model / General Linear Model / Score Function / Bayesian hierarchical model / General Linear Model / Score Function

Simultaneous Inference in General Parametric Models

Statistics / Robust Statistics / Multiple testing / Humans / Multiple comparisons / General Linear Model / Linear Regression / Multivariate Normal Distribution / General Linear Model / Linear Regression / Multivariate Normal Distribution

Simultaneous Inference in General Parametric Models

Statistics / Robust Statistics / Multiple testing / Humans / Multiple comparisons / General Linear Model / Linear Regression / Multivariate Normal Distribution / General Linear Model / Linear Regression / Multivariate Normal Distribution

Secondary sex ratios do not support maternal manipulation: extensive data from laboratory colonies of spiny mice (Muridae: Acomys)

Sex Allocation / Life history / Social Behaviour / Behavioral Ecology / Biological Sciences / Environmental Sciences / Sex ratio / General Linear Model / Large Dataset Analysis / Environmental Sciences / Sex ratio / General Linear Model / Large Dataset Analysis
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