Using multiple imputation of real-world data to estimate clinical remission in pediatric inflammatory bowel disease.
J Comp Eff Res
; 12(4): e220136, 2023 04.
Article
in En
| MEDLINE
| ID: mdl-36799351
ABSTRACT
Aim:
To evaluate the performance of the multiple imputation (MI) method for estimating clinical effectiveness in pediatric Crohn's disease in the ImproveCareNow registry; to address the analytical challenge of missing data. Materials &methods:
Simulation studies were performed by creating missing datasets based on fully observed data from patients with moderate-to-severe Crohn's disease treated with non-ustekinumab biologics. MI was used to impute sPCDAI remission statuses in each simulated dataset.Results:
The true remission rate (75.1% [95% CI 72.6%, 77.5%]) was underestimated without imputation (72.6% [71.8%, 73.3%]). With MI, the estimate was 74.8% (74.4%, 75.2%).Conclusion:
MI reduced nonresponse bias and improved the validity, reliability, and efficiency of real-world registry data to estimate remission rate in pediatric patients with Crohn's disease.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Inflammatory Bowel Diseases
/
Crohn Disease
Aspects:
Patient_preference
Limits:
Child
/
Humans
Language:
En
Journal:
J Comp Eff Res
Year:
2023
Document type:
Article
Affiliation country:
United States