An EM-based semi-parametric mixture model approach to the regression analysis of competing-risks data

Statistics in Medicine ◽

10.1002/sim.1371 ◽

2003 ◽

Vol 22 (7) ◽

pp. 1097-1111 ◽

Author(s):

S. K. Ng ◽

G. J. McLachlan

Keyword(s):

Regression Analysis ◽

Mixture Model ◽

Competing Risks ◽

Mixture Model Approach ◽

Competing Risks Data ◽

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A Mixture Model for the Regression Analysis of Competing Risks Data

Journal of the Royal Statistical Society Series C (Applied Statistics) ◽

10.2307/2347464 ◽

1985 ◽

Vol 34 (3) ◽

pp. 201 ◽

Author(s):

Martin G. Larson ◽

Gregg E. Dinse

Keyword(s):

Regression Analysis ◽

Mixture Model ◽

Competing Risks ◽

Competing Risks Data

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A Spherical Mixture Model Approach for 360 Video Virtual Cinematography

10.1109/icip42928.2021.9506445 ◽

2021 ◽

Author(s):

Chenglei Wu ◽

Zhi Wang ◽

Lifeng Sun

Keyword(s):

Mixture Model ◽

Mixture Model Approach ◽

Virtual Cinematography ◽

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A Mixture Model Approach for Binned Data Clustering

Advances in Intelligent Data Analysis V - Lecture Notes in Computer Science ◽

10.1007/978-3-540-45231-7_25 ◽

2003 ◽

pp. 265-274

Author(s):

Allou Samé ◽

Christophe Ambroise ◽

Gérard Govaert

Keyword(s):

Mixture Model ◽

Data Clustering ◽

Mixture Model Approach ◽

Binned Data ◽

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Peirce's 19th Century Mixture Model Approach to Rater Agreement

The American Statistician ◽

10.1198/000313006x108314 ◽

2006 ◽

Vol 60 (2) ◽

pp. 158-161 ◽

Author(s):

Eric Loken ◽

Michael J Rovine

Keyword(s):

19Th Century ◽

Mixture Model ◽

Rater Agreement ◽

Mixture Model Approach ◽

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Appropriate analyses of bimodal substance use frequency outcomes: a mixture model approach

The American Journal of Drug and Alcohol Abuse ◽

10.1080/00952990.2021.1946070 ◽

2021 ◽

pp. 1-10

Author(s):

Lane F. Burgette ◽

Irineo Cabreros ◽

Bing Han ◽

Susan M. Paddock

Keyword(s):

Substance Use ◽

Mixture Model ◽

Mixture Model Approach ◽

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An Adapted Gaussian Mixture Model Approach to Accelerometry-Based Movement Classification Using Time-Domain Features

2006 International Conference of the IEEE Engineering in Medicine and Biology Society ◽

10.1109/iembs.2006.4398226 ◽

2006 ◽

Author(s):

Felicity R. Allen ◽

Eliathamby Ambikairajah ◽

Nigel H. Lovell ◽

Branko G. Celler

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Time Domain ◽

Gaussian Mixture ◽

Mixture Model Approach ◽

Model Approach ◽

Movement Classification

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A Mixture-Model Approach to the Analysis of Survival Data

Generalized Linear Models ◽

10.1201/9781482293456-23 ◽

2000 ◽

pp. 273-288

Keyword(s):

Mixture Model ◽

Survival Data ◽

Mixture Model Approach ◽

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Dynamic Heterogeneous Choice Heuristics: A Bayesian Hidden Markov Mixture Model Approach

Seoul Journal of Business ◽

10.35152/snusjb.2013.19.1.004 ◽

2013 ◽

Vol 19 (1) ◽

pp. 106-135

Author(s):

Jin Gyo Kim

Keyword(s):

Mixture Model ◽

Hidden Markov ◽

Mixture Model Approach ◽

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OP66 #Income trajectories and health: a latent class growth mixture model approach in understanding society (UK household longitudinal study)

10.1136/jech-2018-ssmabstracts.65 ◽

2018 ◽

Author(s):

AL Moldovan ◽

M Benzeval ◽

P Clarke

Keyword(s):

Longitudinal Study ◽

Mixture Model ◽

Latent Class ◽

Growth Mixture Model ◽

Growth Mixture ◽

Mixture Model Approach ◽

Latent Class Growth ◽

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A Gaussian Mixture Model Approach to Classifying Response Types

Unsupervised and Semi-Supervised Learning - Mixture Models and Applications ◽

10.1007/978-3-030-23876-6_1 ◽

2019 ◽

pp. 3-22

Author(s):

Owen E. Parsons

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Mixture Model Approach ◽

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