Multiple imputation procedures allow the rescue of missing data: An application to determine serum tumor necrosis factor (TNF) concentration values during the treatment of rheumatoid arthritis patients with anti-TNF therapy
Longitudinal studies aimed at evaluating patients clinical response to specific therapeutic treatments are frequently summarized in incomplete datasets due to missing data. Multivariate statistical procedures use only complete cases, deleting any case with missing data. MI and MIANALYZE procedures o...
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| Format: | Article |
| Language: | English |
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BMC
2005-01-01
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| Series: | Biological Research |
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| Online Access: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602005000100002 |
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| author | IRENE SCHIATTINO RODRIGO VILLEGAS ANDREA CRUZAT JIMENA CUENCA LORENA SALAZAR OCTAVIO ARAVENA BÁRBARA PESCE DIEGO CATALÁN CAROLINA LLANOS MIGUEL CUCHACOVICH JUAN C AGUILLÓN |
| author_facet | IRENE SCHIATTINO RODRIGO VILLEGAS ANDREA CRUZAT JIMENA CUENCA LORENA SALAZAR OCTAVIO ARAVENA BÁRBARA PESCE DIEGO CATALÁN CAROLINA LLANOS MIGUEL CUCHACOVICH JUAN C AGUILLÓN |
| author_sort | IRENE SCHIATTINO |
| collection | DOAJ |
| description | Longitudinal studies aimed at evaluating patients clinical response to specific therapeutic treatments are frequently summarized in incomplete datasets due to missing data. Multivariate statistical procedures use only complete cases, deleting any case with missing data. MI and MIANALYZE procedures of the SAS software perform multiple imputations based on the Markov Chain Monte Carlo method to replace each missing value with a plausible value and to evaluate the efficiency of such missing data treatment. The objective of this work was to compare the evaluation of differences in the increase of serum TNF concentrations depending on the 308 TNF promoter genotype of rheumatoid arthritis (RA) patients receiving anti-TNF therapy with and without multiple imputations of missing data based on mixed models for repeated measures. Our results indicate that the relative efficiency of our multiple imputation model is greater than 98% and that the related inference was significant (p-value < 0.001). We established that under both approaches serum TNF levels in RA patients bearing the G/A 308 TNF promoter genotype displayed a significantly (p-value < 0.0001) increased ability to produce TNF over time than the G/G patient group, as they received successively doses of anti-TNF therapy. |
| first_indexed | 2024-12-19T16:01:30Z |
| format | Article |
| id | doaj.art-ee963a49aa194aa2b84aa4af858aa5bd |
| institution | Directory Open Access Journal |
| issn | 0716-9760 0717-6287 |
| language | English |
| last_indexed | 2024-12-19T16:01:30Z |
| publishDate | 2005-01-01 |
| publisher | BMC |
| record_format | Article |
| series | Biological Research |
| spelling | doaj.art-ee963a49aa194aa2b84aa4af858aa5bd2022-12-21T20:14:56ZengBMCBiological Research0716-97600717-62872005-01-01381712Multiple imputation procedures allow the rescue of missing data: An application to determine serum tumor necrosis factor (TNF) concentration values during the treatment of rheumatoid arthritis patients with anti-TNF therapyIRENE SCHIATTINORODRIGO VILLEGASANDREA CRUZATJIMENA CUENCALORENA SALAZAROCTAVIO ARAVENABÁRBARA PESCEDIEGO CATALÁNCAROLINA LLANOSMIGUEL CUCHACOVICHJUAN C AGUILLÓNLongitudinal studies aimed at evaluating patients clinical response to specific therapeutic treatments are frequently summarized in incomplete datasets due to missing data. Multivariate statistical procedures use only complete cases, deleting any case with missing data. MI and MIANALYZE procedures of the SAS software perform multiple imputations based on the Markov Chain Monte Carlo method to replace each missing value with a plausible value and to evaluate the efficiency of such missing data treatment. The objective of this work was to compare the evaluation of differences in the increase of serum TNF concentrations depending on the 308 TNF promoter genotype of rheumatoid arthritis (RA) patients receiving anti-TNF therapy with and without multiple imputations of missing data based on mixed models for repeated measures. Our results indicate that the relative efficiency of our multiple imputation model is greater than 98% and that the related inference was significant (p-value < 0.001). We established that under both approaches serum TNF levels in RA patients bearing the G/A 308 TNF promoter genotype displayed a significantly (p-value < 0.0001) increased ability to produce TNF over time than the G/G patient group, as they received successively doses of anti-TNF therapy.http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602005000100002multiple imputationmixed modelTNF polymorphism |
| spellingShingle | IRENE SCHIATTINO RODRIGO VILLEGAS ANDREA CRUZAT JIMENA CUENCA LORENA SALAZAR OCTAVIO ARAVENA BÁRBARA PESCE DIEGO CATALÁN CAROLINA LLANOS MIGUEL CUCHACOVICH JUAN C AGUILLÓN Multiple imputation procedures allow the rescue of missing data: An application to determine serum tumor necrosis factor (TNF) concentration values during the treatment of rheumatoid arthritis patients with anti-TNF therapy Biological Research multiple imputation mixed model TNF polymorphism |
| title | Multiple imputation procedures allow the rescue of missing data: An application to determine serum tumor necrosis factor (TNF) concentration values during the treatment of rheumatoid arthritis patients with anti-TNF therapy |
| title_full | Multiple imputation procedures allow the rescue of missing data: An application to determine serum tumor necrosis factor (TNF) concentration values during the treatment of rheumatoid arthritis patients with anti-TNF therapy |
| title_fullStr | Multiple imputation procedures allow the rescue of missing data: An application to determine serum tumor necrosis factor (TNF) concentration values during the treatment of rheumatoid arthritis patients with anti-TNF therapy |
| title_full_unstemmed | Multiple imputation procedures allow the rescue of missing data: An application to determine serum tumor necrosis factor (TNF) concentration values during the treatment of rheumatoid arthritis patients with anti-TNF therapy |
| title_short | Multiple imputation procedures allow the rescue of missing data: An application to determine serum tumor necrosis factor (TNF) concentration values during the treatment of rheumatoid arthritis patients with anti-TNF therapy |
| title_sort | multiple imputation procedures allow the rescue of missing data an application to determine serum tumor necrosis factor tnf concentration values during the treatment of rheumatoid arthritis patients with anti tnf therapy |
| topic | multiple imputation mixed model TNF polymorphism |
| url | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602005000100002 |
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