ArticleEmerging themes in epidemiology2013
Improving epidemiologic data analyses through multivariate regression modelling.
Article in Emerging themes in epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
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- The role of artificial intelligence in pandemic responses: from epidemiological modeling to vaccine development.Molecular biomedicine · 2025Review
- Network analysis of demographics, dietary habits and health-related quality of life among northern Chinese population.BMJ public health · 2025Article
- Antimicrobial Susceptibility in Respiratory Pathogens and Farm and Animal Variables in Weaned California Dairy Heifers: Logistic Regression and Bayesian Network Analyses.Antibiotics (Basel, Switzerland) · 2024Article
- Use of Healthcare Claims Data to Generate Real-World Evidence on Patients With Drug-Resistant Epilepsy: Practical Considerations for Research.Journal of health economics and outcomes research · 2024Article
- Bayesian network modeling of patterns of antibiotic cross-resistance by bacterial sample source.Communications medicine · 2023Article
- Effect of characteristics on the clinical course at the initiation of treatment for human immunodeficiency virus infection using dimensionality reduction.Scientific reports · 2023Article
- Multivariate analysis of a missense variant in CREBRF reveals associations with measures of adiposity in people of Polynesian ancestries.Genetic epidemiology · 2023Article
- Determinants of comprehensive knowledge on mother-to-child transmission of HIV and its prevention among childbearing women in Rwanda: insights from the 2020 Rwandan Demographic and Health Survey.BMC public health · 2023Article
- Identifying Associations in Minimum Inhibitory Concentration Values ofFrontiers in veterinary science · 2022Article
- Deciphering the Causal Relationships Between Low Back Pain Complications, Metabolic Factors, and Comorbidities.Journal of pain research · 2022Article
- Temporal-spatial analysis of a foot-and-mouth disease model with spatial diffusion and vaccination.Frontiers in veterinary science · 2022Article
- Additive Bayesian network analysis of the relationship between bovine respiratory disease and management practices in dairy heifer calves at pre-weaning stage.BMC veterinary research · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
: Regression modelling is one of the most widely utilized approaches in epidemiological analyses. It provides a method of identifying statistical associations, from which potential causal associations relevant to disease control may then be investigated. Multivariable regression - a single dependent variable (outcome, usually disease) with multiple independent variables (predictors) - has long been the standard model. Generalizing multivariable regression to multivariate regression - all variables potentially statistically dependent - offers a far richer modelling framework. Through a series of simple illustrative examples we compare and contrast these approaches. The technical methodology used to implement multivariate regression is well established - Bayesian network structure discovery - and while a relative newcomer to the epidemiological literature has a long history in computing science. Applications of multivariate analysis in epidemiological studies can provide a greater understanding of disease processes at the population level, leading to the design of better disease control and prevention programs.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.