FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2026424891> ?p ?o ?g. }

• W2026424891 endingPage "871" @default.
• W2026424891 startingPage "871" @default.
• W2026424891 abstract "From the Authors:We thank Marin and colleagues for their interest in our article (1), for proposing novel nonlinear analytic techniques, and for giving us the opportunity to respond to their letter.We separately presented our analysis on chronic obstructive pulmonary disease (COPD)-only subjects in the online supplement (Tables E3 and E4). In the manuscript, we advised the readers that our subjects with COPD primarily had GOLD stage I and II disease and that our results were therefore generalizable to relatively milder COPD. (We chose not to focus on advanced COPD because the linear association of respiratory outcomes on body mass index for these subjects had been previously described by Landbo and colleagues [2]). We found that our associations were generally similar between those with COPD and those at-risk for COPD, and, therefore, we believe our approach of combining the two groups is reasonable.We agree that readers may be able to better visualize nonlinear relationships generated by generalized regression spline graphics than by using our traditional tabular statistical approach. The authors of the letter also suggest the use of generalized regression spline modeling to construct data-driven threshold values for defining groups. However, we feel that the use of generalized regression spline modeling is more complicated for the reader to understand, and comparisons for statistical significance are more difficult, as the authors of the letter suggest. We defined our body mass index categories based on well-accepted norms of normal-weight, overweight, and obese (3). This allowed for greater ease of reader understanding. Therefore, we decided against the use of generalized regression spline modeling to define our category thresholds, although we admit that the proposed approach might be interesting." @default.
• W2026424891 created "2016-06-24" @default.
• W2026424891 creator A5018274823 @default.
• W2026424891 creator A5020012431 @default.
• W2026424891 creator A5020081483 @default.
• W2026424891 creator A5052246328 @default.
• W2026424891 date "2014-04-01" @default.
• W2026424891 modified "2023-10-16" @default.
• W2026424891 title "Reply: Nonlinear Weight and Chronic Obstructive Pulmonary Disease Effect Modeling to Improve Data Fitting" @default.
• W2026424891 cites W1513833217 @default.
• W2026424891 cites W2153116424 @default.
• W2026424891 cites W2164732757 @default.
• W2026424891 doi "https://doi.org/10.1164/rccm.201401-0123le" @default.
• W2026424891 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4225833" @default.
• W2026424891 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24684365" @default.
• W2026424891 hasPublicationYear "2014" @default.
• W2026424891 type Work @default.
• W2026424891 sameAs 2026424891 @default.
• W2026424891 citedByCount "0" @default.
• W2026424891 crossrefType "journal-article" @default.
• W2026424891 hasAuthorship W2026424891A5018274823 @default.
• W2026424891 hasAuthorship W2026424891A5020012431 @default.
• W2026424891 hasAuthorship W2026424891A5020081483 @default.
• W2026424891 hasAuthorship W2026424891A5052246328 @default.
• W2026424891 hasBestOaLocation W20264248912 @default.
• W2026424891 hasConcept C126322002 @default.
• W2026424891 hasConcept C177713679 @default.
• W2026424891 hasConcept C2987552334 @default.
• W2026424891 hasConcept C2992779976 @default.
• W2026424891 hasConcept C71924100 @default.
• W2026424891 hasConceptScore W2026424891C126322002 @default.
• W2026424891 hasConceptScore W2026424891C177713679 @default.
• W2026424891 hasConceptScore W2026424891C2987552334 @default.
• W2026424891 hasConceptScore W2026424891C2992779976 @default.
• W2026424891 hasConceptScore W2026424891C71924100 @default.
• W2026424891 hasIssue "7" @default.
• W2026424891 hasLocation W20264248911 @default.
• W2026424891 hasLocation W20264248912 @default.
• W2026424891 hasLocation W20264248913 @default.
• W2026424891 hasLocation W20264248914 @default.
• W2026424891 hasOpenAccess W2026424891 @default.
• W2026424891 hasPrimaryLocation W20264248911 @default.
• W2026424891 hasRelatedWork W2043037662 @default.
• W2026424891 hasRelatedWork W2110656477 @default.
• W2026424891 hasRelatedWork W2116076861 @default.
• W2026424891 hasRelatedWork W2132971924 @default.
• W2026424891 hasRelatedWork W2415829833 @default.
• W2026424891 hasRelatedWork W2583254650 @default.
• W2026424891 hasRelatedWork W2902708502 @default.
• W2026424891 hasRelatedWork W4210481644 @default.
• W2026424891 hasRelatedWork W4255701632 @default.
• W2026424891 hasRelatedWork W4285258345 @default.
• W2026424891 hasVolume "189" @default.
• W2026424891 isParatext "false" @default.
• W2026424891 isRetracted "false" @default.
• W2026424891 magId "2026424891" @default.
• W2026424891 workType "article" @default.