Matches in SemOpenAlex for { <https://semopenalex.org/work/W2024268549> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2024268549 endingPage "86" @default.
- W2024268549 startingPage "76" @default.
- W2024268549 abstract "Abstract Rationale, aims and objectives Analysis of cost data is important in providing reliable information to aid budgeting decisions. Certain features of cost data, such as its typically highly skewed distribution and the need to estimate arithmetic mean costs in order to allow inferences to be made on total costs, make it difficult to analyse. Multivariable regression analysis is useful for estimating the influence of explanatory variables on cost in order to predict costs of future patients and allows for the control of variables which influence cost but whose distributions differ between comparison groups. This is especially important in the case of observational studies, where there may be no control over the balance of characteristics between the comparison groups. Method This paper compares the appropriateness of various multivariable models of cost data by examining regression diagnostics, using as an example data collected on costs incurred in the treatment of inflammatory bowel disease. The models compared are normal and bootstrapped multiple linear regression, median regression, gamma model with the log link and normal linear regression (NLR) of log costs. Results Gamma modelling with the log link was found to be the most suitable model. Conclusions Bootstrapping was found to make very little difference to conclusions from the NLR model." @default.
- W2024268549 created "2016-06-24" @default.
- W2024268549 creator A5014333901 @default.
- W2024268549 creator A5036111873 @default.
- W2024268549 creator A5043140431 @default.
- W2024268549 creator A5072801492 @default.
- W2024268549 date "2006-01-01" @default.
- W2024268549 modified "2023-10-14" @default.
- W2024268549 title "A comparison of multivariable regression models to analyse cost data" @default.
- W2024268549 cites W1846128085 @default.
- W2024268549 cites W1970010064 @default.
- W2024268549 cites W1976873809 @default.
- W2024268549 cites W2009802066 @default.
- W2024268549 cites W2045291273 @default.
- W2024268549 cites W2077158601 @default.
- W2024268549 cites W2124181495 @default.
- W2024268549 cites W2134299051 @default.
- W2024268549 cites W2146099263 @default.
- W2024268549 cites W2153589240 @default.
- W2024268549 cites W3124564277 @default.
- W2024268549 cites W4298872162 @default.
- W2024268549 cites W4301861531 @default.
- W2024268549 doi "https://doi.org/10.1111/j.1365-2753.2006.00610.x" @default.
- W2024268549 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/16422782" @default.
- W2024268549 hasPublicationYear "2006" @default.
- W2024268549 type Work @default.
- W2024268549 sameAs 2024268549 @default.
- W2024268549 citedByCount "132" @default.
- W2024268549 countsByYear W20242685492012 @default.
- W2024268549 countsByYear W20242685492013 @default.
- W2024268549 countsByYear W20242685492014 @default.
- W2024268549 countsByYear W20242685492015 @default.
- W2024268549 countsByYear W20242685492016 @default.
- W2024268549 countsByYear W20242685492017 @default.
- W2024268549 countsByYear W20242685492018 @default.
- W2024268549 countsByYear W20242685492019 @default.
- W2024268549 countsByYear W20242685492020 @default.
- W2024268549 countsByYear W20242685492021 @default.
- W2024268549 countsByYear W20242685492022 @default.
- W2024268549 countsByYear W20242685492023 @default.
- W2024268549 crossrefType "journal-article" @default.
- W2024268549 hasAuthorship W2024268549A5014333901 @default.
- W2024268549 hasAuthorship W2024268549A5036111873 @default.
- W2024268549 hasAuthorship W2024268549A5043140431 @default.
- W2024268549 hasAuthorship W2024268549A5072801492 @default.
- W2024268549 hasConcept C105795698 @default.
- W2024268549 hasConcept C117312493 @default.
- W2024268549 hasConcept C127413603 @default.
- W2024268549 hasConcept C133731056 @default.
- W2024268549 hasConcept C149782125 @default.
- W2024268549 hasConcept C152877465 @default.
- W2024268549 hasConcept C207609745 @default.
- W2024268549 hasConcept C23131810 @default.
- W2024268549 hasConcept C33923547 @default.
- W2024268549 hasConcept C41008148 @default.
- W2024268549 hasConcept C48921125 @default.
- W2024268549 hasConcept C83546350 @default.
- W2024268549 hasConceptScore W2024268549C105795698 @default.
- W2024268549 hasConceptScore W2024268549C117312493 @default.
- W2024268549 hasConceptScore W2024268549C127413603 @default.
- W2024268549 hasConceptScore W2024268549C133731056 @default.
- W2024268549 hasConceptScore W2024268549C149782125 @default.
- W2024268549 hasConceptScore W2024268549C152877465 @default.
- W2024268549 hasConceptScore W2024268549C207609745 @default.
- W2024268549 hasConceptScore W2024268549C23131810 @default.
- W2024268549 hasConceptScore W2024268549C33923547 @default.
- W2024268549 hasConceptScore W2024268549C41008148 @default.
- W2024268549 hasConceptScore W2024268549C48921125 @default.
- W2024268549 hasConceptScore W2024268549C83546350 @default.
- W2024268549 hasIssue "1" @default.
- W2024268549 hasLocation W20242685491 @default.
- W2024268549 hasLocation W20242685492 @default.
- W2024268549 hasOpenAccess W2024268549 @default.
- W2024268549 hasPrimaryLocation W20242685491 @default.
- W2024268549 hasRelatedWork W1915333409 @default.
- W2024268549 hasRelatedWork W1976866108 @default.
- W2024268549 hasRelatedWork W2092994918 @default.
- W2024268549 hasRelatedWork W2390006526 @default.
- W2024268549 hasRelatedWork W2393341384 @default.
- W2024268549 hasRelatedWork W2610868774 @default.
- W2024268549 hasRelatedWork W3215700490 @default.
- W2024268549 hasRelatedWork W3216594821 @default.
- W2024268549 hasRelatedWork W4289356671 @default.
- W2024268549 hasRelatedWork W4363647291 @default.
- W2024268549 hasVolume "12" @default.
- W2024268549 isParatext "false" @default.
- W2024268549 isRetracted "false" @default.
- W2024268549 magId "2024268549" @default.
- W2024268549 workType "article" @default.