Multilevel modelling for measuring interaction of effects between multiple categorical variables: An illustrative application using risk factors for preeclampsia-Reference-Cited by-同舟云学术

Multilevel modelling for measuring interaction of effects between multiple categorical variables: An illustrative application using risk factors for preeclampsia

Published:2022-11-10 Issue:2 Volume:37 Page:154-164
ISSN:0269-5022
Container-title:Paediatric and Perinatal Epidemiology
language:en
Short-container-title:Paediatric Perinatal Epid

Author:

Rodriguez‐Lopez Merida¹²^ORCID,Leckie George¹³,Kaufman Jay S.⁴,Merlo Juan¹⁵

Affiliation:

1. Unit for Social Epidemiology, Faculty of Medicine Lund University Malmö Sweden

2. Faculty of Health Sciences Universidad Icesi Cali Colombia

3. Centre for Multilevel Modelling University of Bristol Bristol UK

4. Department of Epidemiology, Biostatistics and Occupational Health McGill University Montreal Quebec Canada

5. Center for Primary Health Care Research, Region Skåne Malmö Sweden

Funder

Vetenskapsrådet

Publisher

Wiley

Subject

Pediatrics, Perinatology and Child Health,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ppe.12932

Reference49 articles.

1. Interaction Reaction

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4. Tests for interaction in epidemiologic studies: A review and a study of power

5. Sparse data bias: a problem hiding in plain sight

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