دورية أكاديمية
The impact of different strategies to handle missing data on both precision and bias in a drug safety study:A multidatabase multinational population-based cohort study
| العنوان: | The impact of different strategies to handle missing data on both precision and bias in a drug safety study:A multidatabase multinational population-based cohort study |
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| المؤلفون: | Martín-Merino, Elisa, Calderón-Larrañaga, Amaia, Hawley, Samuel, Poblador-Plou, Beatriz, Llorente-García, Ana, Petersen, Irene, Prieto-Alhambra, Daniel |
| المصدر: | Martín-Merino , E , Calderón-Larrañaga , A , Hawley , S , Poblador-Plou , B , Llorente-García , A , Petersen , I & Prieto-Alhambra , D 2018 , ' The impact of different strategies to handle missing data on both precision and bias in a drug safety study : A multidatabase multinational population-based cohort study ' , Clinical epidemiology , vol. 10 , pp. 643-654 . https://doi.org/10.2147/CLEP.S154914Test |
| سنة النشر: | 2018 |
| المجموعة: | Aarhus University: Research |
| مصطلحات موضوعية: | Complete case analysis, Electronic medical records, Longitudinal data, Missing data, Multiple imputation, Pharmacoepidemiology |
| الوصف: | Background: Missing data are often an issue in electronic medical records (EMRs) research. However, there are many ways that people deal with missing data in drug safety studies. Aim: To compare the risk estimates resulting from different strategies for the handling of missing data in the study of venous thromboembolism (VTE) risk associated with antiosteoporotic medications (AOM). Methods: New users of AOM (alendronic acid, other bisphosphonates, strontium ranelate, selective estrogen receptor modulators, teriparatide, or denosumab) aged ≥50 years during 1998–2014 were identified in two Spanish (the Base de datos para la Investigación Farmacoepidemiológica en Atención Primaria [BIFAP] and EpiChron cohort) and one UK (Clinical Practice Research Datalink [CPRD]) EMR. Hazard ratios (HRs) according to AOM (with alendronic acid as reference) were calculated adjusting for VTE risk factors, body mass index (that was missing in 61% of patients included in the three databases), and smoking (that was missing in 23% of patients) in the year of AOM therapy initiation. HRs and standard errors obtained using cross-sectional multiple imputation (MI) (reference method) were compared to complete case (CC) analysis – using only patients with complete data – and longitudinal MI – adding to the cross-sectional MI model the body mass index/smoking values as recorded in the year before and after therapy initiation. Results: Overall, 422/95,057 (0.4%), 19/12,688 (0.1%), and 2,051/161,202 (1.3%) VTE cases/participants were seen in BIFAP, EpiChron, and CPRD, respectively. HRs moved from 100.00% underestimation to 40.31% overestimation in CC compared with cross-sectional MI, while longitudinal MI methods provided similar risk estimates compared with cross-sectional MI. Precision for HR improved in cross-sectional MI versus CC by up to 160.28%, while longitudinal MI improved precision (compared with cross-sectional) only minimally (up to 0.80%). Conclusion: CC may substantially affect relative risk estimation in EMR-based drug safety ... |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| العلاقة: | https://pure.au.dk/portal/da/publications/the-impact-of-different-strategies-to-handle-missing-data-on-both-precision-and-bias-in-a-drug-safety-studyTest(f86f0267-f104-4230-a87f-b4aa8fe9dab6).html |
| DOI: | 10.2147/CLEP.S154914 |
| الإتاحة: | https://doi.org/10.2147/CLEP.S154914Test https://pure.au.dk/portal/da/publications/the-impact-of-different-strategies-to-handle-missing-data-on-both-precision-and-bias-in-a-drug-safety-studyTest(f86f0267-f104-4230-a87f-b4aa8fe9dab6).html http://www.scopus.com/inward/record.url?scp=85049527163&partnerID=8YFLogxKTest |
| حقوق: | info:eu-repo/semantics/restrictedAccess |
| رقم الانضمام: | edsbas.566C52B9 |
| قاعدة البيانات: | BASE |
| DOI: | 10.2147/CLEP.S154914 |
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