Estimating longitudinal change in latent variable means: a comparison of non-negative matrix factorization and other item non-response methods-Reference-Cited by-同舟云学术

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Estimating longitudinal change in latent variable means: a comparison of non-negative matrix factorization and other item non-response methods

Published:2022-07-13 Issue:2 Volume:93 Page:211-230
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Ayilara Olawale F.¹,Sajobi Tolulope T.²,Barclay Ruth³,Jafari Jozani Mohammad⁴^ORCID,Lix Lisa M.¹

Affiliation:

1. Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada

2. Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada

3. Department of Physical Therapy, University of Manitoba, Winnipeg, Canada

4. Department of Statistics, University of Manitoba, Winnipeg, Canada

Funder

Canadian Institutes of Health Research

Visual and Automated Disease Analytics (VADA) Program

Tier 1 Canada Research Chair in Methods for Electronic Health Data Quality

Natural Sciences and Engineering Research Council of Canada

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2022.2098499

Reference62 articles.

1. Longitudinal and dynamic measurement invariance of the FACIT-Fatigue scale: an application of the measurement model of derivatives to ECOG-ACRIN study E2805

2. Longitudinal measurement invariance of the Dutch Outcome Questionnaire-45 in a clinical sample

3. Item Response Theory

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