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Allowing for uncertainty due to missing and LOCF imputed outcomes in meta-analysis
Allowing for uncertainty due to missing and LOCF imputed outcomes in meta-analysis
Version 1.0 Approuvé- Type de document
- EXTERNAL_DOCUMENT
- Extension
- png
- Taille
- 339 Ko
- Modifié
- 21/10/22 14:05 par mir mir
- Créé(e)
- 21/10/22 14:05 par mir mir
- Localisation
- PUBLIC
- Notations
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Version 1.0Par mir mir, sur 21/10/22 14:05Log Pas de changement
Résumé
The use of the last observation carried forward (LOCF) method for imputing missing outcome data in randomized clinical trials has been much criticized and its shortcomings are well understood. However, only recently have published studies widely started using more appropriate imputation methods. Consequently, meta-analyses often include several studies reporting their results according to LOCF. The results from such meta-analyses are potentially biased and overprecise. We develop methods for estimating summary treatment effects for continuous outcomes in the presence of both missing and LOCF-imputed outcome data. Our target is the treatment effect if complete follow-up was obtained even if some participants drop out from the protocol treatment. We extend a previously developed meta-analysis model, which accounts for the uncertainty due to missing outcome data via an informative missingness parameter. The extended model includes an extra parameter that reflects the level of prior confidence in the appropriateness of the LOCF imputation scheme. Neither parameter can be informed by the data and we resort to expert opinion and sensitivity analysis. We illustrate the methodology using two meta-analyses of pharmacological interventions for depression.
Le projet COMPAR-EU a été financé par le programme de recherche et d'innovation Horizon 2020 de l'Union européenne dans le cadre de la convention de subvention n° 754936.
Veuillez noter qu'il s'agit de la version bêta de la plateforme COMPAR-EU. Il comprend désormais les résultats complets concernant le diabète et, au cours de l'été 2022, les résultats concernant l'obésité, la BPCO ainsi que l'insuffisance cardiaque seront complétés. La plateforme sera également étendue et améliorée pendant les mois à venir.