A Bayesian nonparametric approach to dynamic item‐response modeling: An application to the GUSTO cohort study-Reference-Cited by-同舟云学术

A Bayesian nonparametric approach to dynamic item‐response modeling: An application to the GUSTO cohort study

Published:2021-08-19 Issue:27 Volume:40 Page:6021-6037
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Cremaschi Andrea¹^ORCID,De Iorio Maria¹²³⁴^ORCID,Seng Chong Yap¹²,Broekman Birit⁵,Meaney Michael J.¹⁶,Kee Michelle Z. L.¹

Affiliation:

1. Singapore Institute for Clinical Sciences (SICS), Agency for Science Technology and Research (A*STAR), Brenner Centre for Molecular Medicine Singapore

2. Yong Loo Lin School of Medicine National University of Singapore Singapore Singapore

3. Division of Science Yale‐NUS College Singapore Singapore

4. Department of Statistical Science University College London London UK

5. Department of Psychiatry VU Medical Centre Amsterdam the Netherlands

6. Department of Psychiatry Douglas Mental Health University Research Institute, McGill University Montreal Quebec Canada

Funder

National Research Foundation Singapore

Singapore Institute for Clinical Sciences

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9167

Reference67 articles.

1. Child/adolescent behavioral and emotional problems: Implications of cross-informant correlations for situational specificity.

2. Informant Discrepancies in the Assessment of Childhood Psychopathology: A Critical Review, Theoretical Framework, and Recommendations for Further Study.

3. Patterns and correlates of agreement between parent, teacher, and male adolescent ratings of externalizing and internalizing problems.

4. How far are associations between child, family and community factors and child psychopathology informant-specific and informant-general?

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