Analysis of Mixed Data
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Published By Chapman And Hall/CRC

9781439884713, 9781439884720
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Joint tests for mixed traits in genetic association studies

2013 ◽  
pp. 31-41
Author(s):  
Minjung Kwak ◽  
Gang Zheng ◽  
Colin Wu
Keyword(s):  
Genetic Association ◽  
Association Studies ◽  
Genetic Association Studies ◽  
Mixed Traits

Bibliography

2013 ◽  
pp. 209-229

Analysis of mixed outcomes in econometrics

2013 ◽  
pp. 157-172
Author(s):  
David Zimmer
Keyword(s):  
Mixed Outcomes

scholarly journals Bias in factor score regression and a simple solution

2013 ◽  
pp. 43-61 ◽  
Author(s):  
Takahiro Hoshino ◽  
Peter Bentler
Keyword(s):  
Factor Score ◽  
Simple Solution

Regression models for analyzing clustered binary and continuous outcomes under the assumption of exchangeability

2013 ◽  
pp. 93-107 ◽  
Author(s):  
E George ◽  
Dale Bowman ◽  
Qi An
Keyword(s):  
Regression Models ◽  
Continuous Outcomes

Combining univariate and multivariate random forests for enhancing predictions of mixed outcomes

2013 ◽  
pp. 13-30 ◽  
Author(s):  
Abdessamad Dine ◽  
Denis Larocque ◽  
François Bellavance
Keyword(s):  
Random Forests ◽  
Mixed Outcomes

Bayesian methods for the analysis of mixed categorical and continuous (incomplete) data

2013 ◽  
pp. 189-208 ◽  
Author(s):  
Michael Daniels ◽  
Jeremy Gaskins
Keyword(s):  
Bayesian Methods ◽  
Incomplete Data

Sparse Bayesian modeling of mixed econometric data using data augmentation

2013 ◽  
pp. 173-188
Author(s):  
Helga Wagner ◽  
Regina Tüchler
Keyword(s):  
Bayesian Modeling ◽  
Data Augmentation ◽  
Using Data

Factorization and latent variable models for joint analysis of binary and continuous outcomes

2013 ◽  
pp. 81-91
Author(s):  
Armando Teixeira–Pinto ◽  
Jaroslaw Harezlak
Keyword(s):  
Latent Variable ◽  
Latent Variable Models ◽  
Joint Analysis ◽  
Continuous Outcomes

Index

2013 ◽  
pp. 231-234
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