✦ LIBER ✦

Testing for association with multiple traits in generalized estimation equations, with application to neuroimaging data

✍ Scribed by Zhang, Yiwei; Xu, Zhiyuan; Shen, Xiaotong; Pan, Wei

Book ID: 124114900
Publisher: Elsevier Science
Year: 2014
Tongue: English
Weight: 946 KB
Volume: 96
Category: Article
ISSN: 1053-8119
DOI: 10.1016/j.neuroimage.2014.03.061

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

On estimating equations for parameters i

On estimating equations for parameters in generalized linear mixed models with application to binary data

✍ Roy F. Bartlett; Brajendra C. Sutradhar 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 168 KB 👁 3 views

In view of the cumbersome and often intractable numerical integrations required for a full likelihood analysis, several suggestions have been made recently for approximate inference in generalized linear mixed models and other nonlinear variance component models. For example, we refer to the penaliz

Family-based tests for associating haplo

Family-based tests for associating haplotypes with general phenotype data: Application to asthma genetics

✍ Steve Horvath; Xin Xu; Stephen L. Lake; Edwin K. Silverman; Scott T. Weiss; Nan 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 122 KB 👁 2 views

## Abstract We provide a general purpose family‐based testing strategy for associating disease phenotypes with haplotypes when phase may be ambiguous and parental genotype data may be missing. These tests for linkage and association can be used in candidate gene studies with tightly linked markers.

Joint generalized estimating equations f

Joint generalized estimating equations for multivariate longitudinal binary outcomes with missing data: an application to acquired immune deficiency syndrome data

✍ Stuart R. Lipsitz; Garrett M. Fitzmaurice; Joseph G. Ibrahim; Debajyoti Sinha; M 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 597 KB

A generalized estimating equation method

A generalized estimating equation method for fitting autocorrelated ordinal score data with an application in horticultural research

✍ N. R. Parsons; R. N. Edmondson; S. G. Gilmour 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 191 KB

Partial sum process to check regression

Partial sum process to check regression models with multiple correlated response: With an application for testing a change-point in profile data

✍ W. Bischoff; A. Gegg 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 343 KB

The bootstrap and cross-validation in ne

The bootstrap and cross-validation in neuroimaging applications: Estimation of the distribution of extrema of random fields for single volume tests, with an application to ADC maps

✍ Roberto Viviani; Petra Beschoner; Tina Jaeckle; Peter Hipp; Jan Kassubek; Bernd 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 505 KB

## Abstract We discuss the assessment of signal change in single magnetic resonance images (MRI) based on quantifying significant departure from a reference distribution estimated from a large sample of normal subjects. The parametric approach is to build a test based on the expected distribution o