Methods for analyzing multivariate phenotypes in genetic association studies
From MaRDI portal
Publication:454787
DOI10.1155/2012/652569zbMath1263.62135OpenAlexW2064350862WikidataQ30486900 ScholiaQ30486900MaRDI QIDQ454787
Publication date: 10 October 2012
Published in: Journal of Probability and Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2012/652569
Applications of statistics to biology and medical sciences; meta analysis (62P10) Problems related to evolution (92D15) Genetics and epigenetics (92D10)
Related Items (2)
Testing economic “genetic pleiotropy” for Box-Cox linear model ⋮ Genetic pleiotropy test by quasi \(p\)-value with application to typhoon data in China
Uses Software
Cites Work
- Longitudinal data analysis using generalized linear models
- Random-Effects Models for Longitudinal Data
- Practical methods for computing power in testing the multivariate general linear hypothesis
- Linear mixed models and penalized least squares
- Estimation of controlled direct effects on a dichotomous outcome using logistic structural direct effect models
- Combining dependent tests with incomplete repeated measurements
- Causal diagrams for empirical research
- Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
- Regression Models for Mixed Discrete and Continuous Responses with Potentially Missing Values
- Approximate Inference in Generalized Linear Mixed Models
- A likelihood-based method for analysing longitudinal binary responses
- Recovery of inter-block information when block sizes are unequal
- A Family-Based Association Test for Repeatedly Measured Quantitative Traits Adjusting for Unknown Environmental and/or Polygenic Effects
- A multivariate family-based association test using generalized estimating equations: FBAT-GEE
- Combining dependent tests for linkage or association across multiple phenotypic traits
- Approximate and Asymptotic Distributions of Chi-Squared–Type Mixtures With Applications
This page was built for publication: Methods for analyzing multivariate phenotypes in genetic association studies
