A Joint Regression Analysis for Genetic Association Studies with Outcome Stratified Samples

DOI10.1111/biom.12012zbMath1274.62905OpenAlexW2105727972WikidataQ42691715 ScholiaQ42691715MaRDI QIDQ2846449

Minjung Kwak, Gang Zheng, Wu, Colin O.

Publication date: 5 September 2013

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.12012

zbMATH Keywords

quantitative traitgenetic association studystratified samplejoint regression modelpleiotropic analysisqualitative trait

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Genetics and epigenetics (92D10)

Related Items (1)

Genome-wide association study using truncated likelihood with incomplete information for stratum specific missingness

Cites Work

• Unnamed Item
• ANOVA extensions for mixed discrete and continuous data
• The use of polynomial splines and their tensor products in multivariate function estimation. (With discussion)
• The location model for mixtures of categorical and continuous variables
• Approximation Theorems of Mathematical Statistics
• Testing in Semiparametric Models with Interaction, with Applications to Gene–Environment Interactions
• Regression Models for Mixed Discrete and Continuous Responses with Potentially Missing Values
• Regression Models for a Bivariate Discrete and Continuous Outcome with Clustering
• An Association Test for Multiple Traits Based on the Generalized Kendall’s Tau
• Semiparametric maximum likelihood estimation exploiting gene-environment independence in case-control studies
• Multivariate Correlation Models with Mixed Discrete and Continuous Variables

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