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Trajectory clustering using mixed classification models

Published:2021-04-07 Issue:15 Volume:40 Page:3425-3439
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Klich Amna¹²³⁴^ORCID,Ecochard René¹²³⁴^ORCID,Subtil Fabien¹²³⁴^ORCID

Affiliation:

1. Université de Lyon Lyon France

2. Université Lyon 1 Villeurbanne France

3. Service de Biostatistique‐Bioinformatique Pôle Santé Publique, Hospices Civils de Lyon Lyon France

4. Équipe Biostatistique‐Santé Laboratoire de Biométrie et Biologie Évolutive, UMR CNRS 5558 Villeurbanne France

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8975

Reference24 articles.

1. Group-Based Trajectory Modeling in Clinical Research

2. Latent mixture models for multivariate and longitudinal outcomes

3. EinbeckJ DarnellR HindeJ.npmlreg: nonparametric maximum likelihood estimation for random effect models; 2014.

4. Mixture analysis of longitudinal binary data

5. Latent variable modelling of recovery trajectories: sexual function following radical prostatectomy

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1. Trajectory classification to support effective and efficient field-road classification;PeerJ Computer Science;2024-03-28

2. Clustering of trajectories with mixed effects classification model: Inference taking into account classification uncertainties;Statistics in Medicine;2023-08-14

3. Approximating missing epidemiological data for cervical cancer through Footprinting: A case study in India;eLife;2023-05-25

4. “Footprinting” missing epidemiological data for cervical cancer: a case study in India;2022-06-28

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