Multivariate meta‐analysis for non‐linear and other multi‐parameter associations
Article Properties
-
LanguageEnglish
-
DOI (url)
-
Publication Date2012/07/16
-
Journal
-
Indian UGC (journal)
-
Refrences75
-
Citations482
-
A. Gasparrini Department of Medical Statistics London School of Hygiene and Tropical Medicine London U.K.
-
B. Armstrong Department of Social and Environmental Health Research London School of Hygiene and Tropical Medicine London U.K.
-
M. G. Kenward Department of Medical Statistics London School of Hygiene and Tropical Medicine London U.K.
Abstract
Cite
Gasparrini, A., et al. “Multivariate meta‐analysis for non‐linear and Other multi‐parameter Associations”. Statistics in Medicine, vol. 31, no. 29, 2012, pp. 3821-39, https://doi.org/10.1002/sim.5471.
Gasparrini, A., Armstrong, B., & Kenward, M. G. (2012). Multivariate meta‐analysis for non‐linear and other multi‐parameter associations. Statistics in Medicine, 31(29), 3821-3839. https://doi.org/10.1002/sim.5471
Gasparrini, A., B. Armstrong, and M. G. Kenward. “Multivariate meta‐analysis for non‐linear and Other multi‐parameter Associations”. Statistics in Medicine 31, no. 29 (2012): 3821-39. https://doi.org/10.1002/sim.5471.
Gasparrini A, Armstrong B, Kenward MG. Multivariate meta‐analysis for non‐linear and other multi‐parameter associations. Statistics in Medicine. 2012;31(29):3821-39.
Journal Categories
Medicine
Internal medicine
Special situations and conditions
Industrial medicine
Industrial hygiene
Medicine
Medicine (General)
Medicine
Medicine (General)
Computer applications to medicine
Medical informatics
Medicine
Medicine (General)
Medical technology
Science
Biology (General)
Science
Mathematics
Probabilities
Mathematical statistics
Social Sciences
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| R: A Language and Environment for Statistical Computing | 2012 | |||
| Linear Mixed Models for Longitudinal Data | 2000 | |||
| 10.1002/(SICI)1097-0258(19981130)17:22<2537::AID-SIM953>3.0.CO;2-C | ||||
| 10.1002/(SICI)1097-0258(19960315)15:5<537::AID-SIM176>3.0.CO;2-S | ||||
| 10.1111/1467-985X.00170 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Projecting heat-related cardiovascular mortality burden attributable to human-induced climate change in China | eBioMedicine |
| 1 | 2024 |
| Modification effects of long-term air pollution levels on the relationship between short-term exposure to meteorological factors and hand, foot, and mouth disease: A distributed lag non-linear model-based study in Shandong Province, China | Ecotoxicology and Environmental Safety |
| 2024 | |
| Associations of meteorological factors and dynamics of scrub typhus incidence in South Korea: A nationwide time-series study | Environmental Research |
| 2024 | |
| The impact of ambient temperature and air pollution on SARS-CoV2 infection and Post COVID-19 condition in Belgium (2021–2022) | Environmental Research |
| 2024 | |
| The relationship between hot temperatures and hospital admissions for psychosis in adults diagnosed with schizophrenia: A case-crossover study in Quebec, Canada | Environmental Research |
| 2024 |
Citations Analysis
The category
Geography. Anthropology. Recreation: Environmental sciences 239
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Classroom Management Self-Efficacy and Burnout: A Multivariate Meta-analysis and was published in 2013. The most recent citation comes from a 2024 study titled Projecting heat-related cardiovascular mortality burden attributable to human-induced climate change in China. This article reached its peak citation in 2022, with 71 citations. It has been cited in 158 different journals, 25% of which are open access. Among related journals, the Science of The Total Environment cited this research the most, with 49 citations. The chart below illustrates the annual citation trends for this article.