Matches in SemOpenAlex for { <https://semopenalex.org/work/W2029462725> ?p ?o ?g. }
- W2029462725 endingPage "9" @default.
- W2029462725 startingPage "1" @default.
- W2029462725 abstract "Missing data are ubiquitous in clinical trials for rheumatic diseases, and it is important to accommodate them using appropriate statistical techniques. We review some of the basic considerations for missing data and survey a range of statistical techniques for analysis of longitudinal clinical trial data with missingness. Using clinical trial data from patients with diffuse systemic sclerosis, we show that different approaches to handling missing data can lead to different conclusions on the efficacy of the treatment. We then suggest how such discrepancies might be addressed. In particular, we emphasize that the commonly used method in rheumatic clinical trials of carrying the last observation forward to impute missing values should not be the primary analysis. We review software for analyzing different types of missing data and discuss our freely available software library for analyzing the more difficult but more realistic situation when the probability of dropout or missing data may depend on the unobserved missing value." @default.
- W2029462725 created "2016-06-24" @default.
- W2029462725 creator A5010035680 @default.
- W2029462725 creator A5023973423 @default.
- W2029462725 creator A5050143476 @default.
- W2029462725 creator A5059206584 @default.
- W2029462725 date "2011-01-01" @default.
- W2029462725 modified "2023-10-14" @default.
- W2029462725 title "Handling missing data issues in clinical trials for rheumatic diseases" @default.
- W2029462725 cites W1966124726 @default.
- W2029462725 cites W1984052453 @default.
- W2029462725 cites W1985808723 @default.
- W2029462725 cites W1987301751 @default.
- W2029462725 cites W1993147091 @default.
- W2029462725 cites W1993987591 @default.
- W2029462725 cites W1995497339 @default.
- W2029462725 cites W2023305997 @default.
- W2029462725 cites W2026335950 @default.
- W2029462725 cites W2027364337 @default.
- W2029462725 cites W2034869015 @default.
- W2029462725 cites W2035718786 @default.
- W2029462725 cites W2039660534 @default.
- W2029462725 cites W2044763202 @default.
- W2029462725 cites W2046811824 @default.
- W2029462725 cites W2055109338 @default.
- W2029462725 cites W2061579917 @default.
- W2029462725 cites W2064279221 @default.
- W2029462725 cites W2068817959 @default.
- W2029462725 cites W2070971982 @default.
- W2029462725 cites W2076395872 @default.
- W2029462725 cites W2081983881 @default.
- W2029462725 cites W2082246284 @default.
- W2029462725 cites W2100358124 @default.
- W2029462725 cites W2102386709 @default.
- W2029462725 cites W2106864651 @default.
- W2029462725 cites W2109927751 @default.
- W2029462725 cites W2113559481 @default.
- W2029462725 cites W2132453606 @default.
- W2029462725 cites W2137364855 @default.
- W2029462725 cites W2148436612 @default.
- W2029462725 cites W2153939609 @default.
- W2029462725 cites W2157407871 @default.
- W2029462725 cites W2158985195 @default.
- W2029462725 cites W2159638385 @default.
- W2029462725 cites W2162313689 @default.
- W2029462725 cites W2162772535 @default.
- W2029462725 cites W2162840262 @default.
- W2029462725 cites W2170674956 @default.
- W2029462725 cites W2284967628 @default.
- W2029462725 cites W2319523881 @default.
- W2029462725 cites W4231716456 @default.
- W2029462725 cites W4231787122 @default.
- W2029462725 cites W4232007790 @default.
- W2029462725 cites W4234898801 @default.
- W2029462725 cites W4236315606 @default.
- W2029462725 cites W4237142341 @default.
- W2029462725 cites W4244611409 @default.
- W2029462725 cites W4246374159 @default.
- W2029462725 cites W85196187 @default.
- W2029462725 doi "https://doi.org/10.1016/j.cct.2010.09.001" @default.
- W2029462725 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/20840873" @default.
- W2029462725 hasPublicationYear "2011" @default.
- W2029462725 type Work @default.
- W2029462725 sameAs 2029462725 @default.
- W2029462725 citedByCount "21" @default.
- W2029462725 countsByYear W20294627252012 @default.
- W2029462725 countsByYear W20294627252013 @default.
- W2029462725 countsByYear W20294627252014 @default.
- W2029462725 countsByYear W20294627252016 @default.
- W2029462725 countsByYear W20294627252017 @default.
- W2029462725 countsByYear W20294627252018 @default.
- W2029462725 countsByYear W20294627252019 @default.
- W2029462725 countsByYear W20294627252020 @default.
- W2029462725 countsByYear W20294627252022 @default.
- W2029462725 countsByYear W20294627252023 @default.
- W2029462725 crossrefType "journal-article" @default.
- W2029462725 hasAuthorship W2029462725A5010035680 @default.
- W2029462725 hasAuthorship W2029462725A5023973423 @default.
- W2029462725 hasAuthorship W2029462725A5050143476 @default.
- W2029462725 hasAuthorship W2029462725A5059206584 @default.
- W2029462725 hasConcept C119857082 @default.
- W2029462725 hasConcept C124101348 @default.
- W2029462725 hasConcept C142724271 @default.
- W2029462725 hasConcept C199360897 @default.
- W2029462725 hasConcept C2776145597 @default.
- W2029462725 hasConcept C2777904410 @default.
- W2029462725 hasConcept C41008148 @default.
- W2029462725 hasConcept C535046627 @default.
- W2029462725 hasConcept C71924100 @default.
- W2029462725 hasConcept C9357733 @default.
- W2029462725 hasConceptScore W2029462725C119857082 @default.
- W2029462725 hasConceptScore W2029462725C124101348 @default.
- W2029462725 hasConceptScore W2029462725C142724271 @default.
- W2029462725 hasConceptScore W2029462725C199360897 @default.
- W2029462725 hasConceptScore W2029462725C2776145597 @default.
- W2029462725 hasConceptScore W2029462725C2777904410 @default.
- W2029462725 hasConceptScore W2029462725C41008148 @default.
- W2029462725 hasConceptScore W2029462725C535046627 @default.