Analysis of Mixed Data
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TOTAL DOCUMENTS

16

(FIVE YEARS 0)

H-INDEX

3

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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

Analysis of Mixed Data ◽

10.1201/b14571-4 ◽

2013 ◽

pp. 31-41

Author(s):

Minjung Kwak ◽

Gang Zheng ◽

Colin Wu

Keyword(s):

Genetic Association ◽

Association Studies ◽

Genetic Association Studies ◽

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Bibliography

Analysis of Mixed Data ◽

10.1201/b14571-15 ◽

2013 ◽

pp. 209-229

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Analysis of mixed outcomes in econometrics

Analysis of Mixed Data ◽

10.1201/b14571-12 ◽

2013 ◽

pp. 157-172

Author(s):

David Zimmer

Keyword(s):

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Bias in factor score regression and a simple solution

Analysis of Mixed Data ◽

10.1201/b14571-5 ◽

2013 ◽

pp. 43-61 ◽

Author(s):

Takahiro Hoshino ◽

Peter Bentler

Keyword(s):

Factor Score ◽

Simple Solution

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

Analysis of Mixed Data ◽

10.1201/b14571-8 ◽

2013 ◽

pp. 93-107 ◽

Author(s):

E George ◽

Dale Bowman ◽

Qi An

Keyword(s):

Regression Models ◽

Continuous Outcomes

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

Analysis of Mixed Data ◽

10.1201/b14571-3 ◽

2013 ◽

pp. 13-30 ◽

Author(s):

Abdessamad Dine ◽

Denis Larocque ◽

François Bellavance

Keyword(s):

Random Forests ◽

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

Analysis of Mixed Data ◽

10.1201/b14571-14 ◽

2013 ◽

pp. 189-208 ◽

Author(s):

Michael Daniels ◽

Jeremy Gaskins

Keyword(s):

Bayesian Methods ◽

Incomplete Data

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Sparse Bayesian modeling of mixed econometric data using data augmentation

Analysis of Mixed Data ◽

10.1201/b14571-13 ◽

2013 ◽

pp. 173-188

Author(s):

Helga Wagner ◽

Regina Tüchler

Keyword(s):

Bayesian Modeling ◽

Data Augmentation ◽

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

Analysis of Mixed Data ◽

10.1201/b14571-7 ◽

2013 ◽

pp. 81-91

Author(s):

Armando Teixeira–Pinto ◽

Jaroslaw Harezlak

Keyword(s):

Latent Variable ◽

Latent Variable Models ◽

Joint Analysis ◽

Continuous Outcomes

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Index

Analysis of Mixed Data ◽

10.1201/b14571-16 ◽

2013 ◽

pp. 231-234

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