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Highly Cited

2014

Highly Cited

2014

The increase in spatiotemporal resolution of neuroimaging devices is accompanied by a trend towards more powerful multivariate… Expand

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Review

2008

Review

2008

Simultaneous inference is a common problem in many areas of application. If multiple null hypotheses are tested simultaneously… Expand

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Highly Cited

2002

Highly Cited

2002

Summary. We present a technique for extending generalized linear models to the situation where some of the predictor variables… Expand

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Highly Cited

1998

Highly Cited

1998

PURPOSE
Our goal was to validate linear and nonlinear intersubject image registration using an automated method (AIR 3.0) based… Expand

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Highly Cited

1997

Highly Cited

1997

PART ONE: PRELIMINARIES Statistics and Social Science What Is Regression Analysis? Examining Data Transforming Data PART TWO… Expand

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Highly Cited

1992

Highly Cited

1992

PART I THE LOGIC OF HIERARCHICAL LINEAR MODELING Series Editor 's Introduction to Hierarchical Linear Models Series Editor 's… Expand

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Highly Cited

1991

Highly Cited

1991

Abstract The mixed model equations as presented by C. R. Henderson offers the base for a methodology that provides flexibility of… Expand

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Highly Cited

1987

Highly Cited

1987

Univariate Nonlinear Regression. Univariate Nonlinear Regression: Special Situations. A Unified Asymptotic Theory for Nonlinear… Expand

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Highly Cited

1986

Highly Cited

1986

SUMMARY This paper proposes an extension of generalized linear models to the analysis of longitudinal data. We introduce a class… Expand

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Highly Cited

1986

Highly Cited

1986

Recent computational models of color vision demonstrate that it is possible to achieve exact color constancy over a limited range… Expand

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