Covariate Adjustment in the Analysis of Microarray Data From Clinical Studies

Functional and Integrative Genomics - Germany
doi 10.1007/s10142-004-0120-3
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Nature

Related search

Sensitivity Analysis for Missing Outcomes in Time-To-Event Data With Covariate Adjustment

Journal of Biopharmaceutical Statistics
StatisticsProbabilityPharmacology
2015English

Evaluating Mode Effects in Mixed-Mode Survey Data Using Covariate Adjustment Models

Journal of Official Statistics
2014English

Empirical Comparison of Four Baseline Covariate Adjustment Methods in Analysis of Continuous Outcomes in Randomized Controlled Trials

Clinical Epidemiology
Epidemiology
2014English

Microarray Data Analysis: From Disarray to Consolidation and Consensus

Nature Reviews Genetics
GeneticsMolecular Biology
2006English

Reusing Microarray Clinical Data From a Complex Disease With Bioinformatics Tool

2018English

Statistical Methods for Microarray Data Analysis

Methods in Molecular Biology
GeneticsMolecular Biology
2013English

Incomplete Data in Clinical Studies: Analysis, Sensitivity, and Sensitivity Analysis—Rejoinder

Drug Information Journal
2009English

Correspondence Analysis Applied to Microarray Data

Proceedings of the National Academy of Sciences of the United States of America
Multidisciplinary
2001English

Standardization of cDNA Microarray Technology for Toxicogenomics; Essential Data for Initiating cDNA Microarray Studies

Chem-Bio Informatics Journal
Biochemistry
2004English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy