Analysing and quantifying the effect of predictors of stroke direct costs in South Africa using quantile regression
Bibliographic Data
| ID | 15373682 |
|---|---|
| Authors | Lyness Matizirofa (0000-0002-7050-0348, Pioneer (United States), corresponding author), Delson Chikobvu (0000-0003-3979-658X, University of the Free State) |
| Year | 2021 |
| Volume | 21 |
| Issue | 1 |
| Pages | 1560-1560 |
| Publication date | 2021-08-17 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | BMC Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1471-2458 • E-ISSN: 1471-2458 |
| Publisher | BioMed Central (PUBLISHER • GB) |
| DOI | 10.1186/s12889-021-11592-0 |
| PMID | 34404386 |
| OpenAlex | W3193599577 |
| Language | EN |
| Citations received | 2 |
| References cited | 25 |
The identified predictors can be used to raise awareness on modifiable predictors and promote campaigns for healthy dietary choices. Modelling costs predictors using multivariate QR models could be beneficial for addressing the stroke burden in SA
Biostatistics · Indirect costs · Quantile regression · Regression analysis · Statistics · Stroke (engine · Acute Ischemic Stroke Management · Health Systems, Economic Evaluations, Quality of Life · Mathematics · Medicine · Epidemiology · Internal Medicine
Quantile Regression
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Burden of stroke attributable to selected lifestyle risk factors in rural South Africa
Simultaneous quantile regression and determinants of under-five severe chronic malnutrition in Ghana
Direct Medical Cost of Hospitalization for Acute Stroke in Lebanon
Quantile Regression
| Unique citing works | 2 |
|---|---|
| Citations per year | 0.5 |
| Citation span | 2022 - 2022 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |